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Artykuły w czasopismach na temat "Responsible Digital Innovation"
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Bessant, John. "BOOK REVIEW: Responsible Innovation in Digital Health". International Journal of Innovation Management 24, nr 06 (11.02.2020): 2080006. http://dx.doi.org/10.1142/s1363919620800067.
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BESSANT, JOHN, ALLEN ALEXANDER, DANIELLE WYNNE i ANNA TRIFILOVA. "RESPONSIBLE INNOVATION IN HEALTHCARE — THE CASE OF HEALTH INFORMATION TV". International Journal of Innovation Management 21, nr 08 (grudzień 2017): 1740012. http://dx.doi.org/10.1142/s1363919617400126.
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The paper explores the application of responsible innovation (RI) principles in the design and implementation of innovation in the context of digitally-enabled healthcare. In particular, we are interested in the scope for bringing in RI considerations at various stages in the innovation process and in the relevant tools and frameworks which might facilitate this. Using the particular example of a detailed longitudinal case of the development and diffusion (with subsequent modification and “re-innovation”) of a digital health information platform, we identify a number of key points at which the innovation concept “pivoted” to reflect new information, some of which resulted from a wider level of inclusion (one of the core RI principles). The paper explores the role played by structured frameworks (such as the “Business Model Canvas”) in the development of other digital healthcare innovations at an early stage.
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Jirotka, Marina, Barbara Grimpe, Bernd Stahl, Grace Eden i Mark Hartswood. "Responsible research and innovation in the digital age". Communications of the ACM 60, nr 5 (24.04.2017): 62–68. http://dx.doi.org/10.1145/3064940.
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Bruynseels, Koen. "When nature goes digital: routes for responsible innovation". Journal of Responsible Innovation 7, nr 3 (19.06.2020): 342–60. http://dx.doi.org/10.1080/23299460.2020.1771144.
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Iakovleva, Tatiana, Elin Oftedal i John Bessant. "Changing Role of Users—Innovating Responsibly in Digital Health". Sustainability 13, nr 4 (3.02.2021): 1616. http://dx.doi.org/10.3390/su13041616.
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Despite the recognition of the importance of stakeholder inclusion into decisions about new solutions offered to society, responsible innovation (RI) has stalled at the point of articulating a process of governance with a strongly normative loading, without clear practical guidelines toward implementation practices. The principles of RI direct us to involve the user early in the innovation process. However, it lacks direction of how to involve users and stakeholders into this process. In this article, we try to understand how to empower users to become a part of innovation process though empirical cases. Based on 11 cases of firms innovating in digital health and welfare services, we look on firm practices for user integration into their innovation process, as well as how the user’s behavior is changing due to new trends such as availability of information and digitalization of services. We try to explore this question through lenses of responsible innovation in the emerging field of digital healthcare. Our findings indicate that users are not a homogenous group—rather, their willingness to engage in innovative processes are distributed across a spectrum, ranging from informed to involved and, at extreme, to innovative user. Further, we identified signs of user and stakeholder inclusion in all our cases—albeit in different degrees. The most common group of inclusion is with involved users, and firms’ practices varying from sharing reciprocal information with users, to integration through focus groups, testing or collecting a more formative feedbacks from users. Although user inclusion into design space is perceived as important and beneficial for matching with market demands, it is also a time-consuming and costly process. We conclude with debating some policy impacts, pointing to the fact that inclusion is a resource-consuming process especially for small firms and that policy instruments have to be in place in order to secure true inclusion of users into the innovation process. Our article sheds light on RI practices, and we also suggest some avenues for future research to identify more precisely whom to include, when to include and at what stage of the innovation process.
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Bryce, Vincent, Tonii Leach, Bernd Stahl i Laurence Brooks. "Broadening our horizons: Digital technology, metatechnologies, and their implications for responsible innovation". NOvation - Critical Studies of Innovation, nr 2 (28.02.2022): 32. http://dx.doi.org/10.5380/nocsi.v0i2.91152.
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This paper argues that responsible innovation discourses must consider the changing nature of digital innovation, if they are to stand a chance of steering the development of technology towards democratically-acceptable ends. It explores the extent to which foundational narratives of Responsible (Research and) Innovation (RRI) consider problematic features of metatechnologies – defined here as “core information technologies upon which others are based, and whose use vastly expands the degrees of freedom with which humans can act in the social and material worlds” – and implications for responsible innovation discourse in the digital age. The study finds that references underpinning paradigmatic RRI accounts include digital and metatechnology examples, albeit briefly in some cases, somewhat reinforcing the validity of seminal RRI accounts in the context of new and emerging digital technologies with metatechnological attributes. The need for additional reflection on the problematic implications of digital technologies for RRI is identified, for example with respect to distributed development, and recombinant and network-level effects. The paper concludes that the continuing value of RRI as a discourse to society will depend on researchers’ and practitioners’ awareness of the potential of these technologies for cascading, downstream innovation.
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Oftedal, Elin Merethe, Lene Foss i Tatiana Iakovleva. "Responsible for Responsibility? A Study of Digital E-health Startups". Sustainability 11, nr 19 (30.09.2019): 5433. http://dx.doi.org/10.3390/su11195433.
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Responsible innovation (RI) has received increased attention from policymakers and academics as a solution to grand challenges and is viewed as the main driver for innovation. The United Nations has suggested 17 Sustainable Development Goals and responsible innovation can be seen as a tool that allows the movement of society towards reducing inequality, coping with environmental challenges and sustaining countries’ economic and societal development. Our knowledge of how businesses act responsibly in solving these challenges is scarce. An inductive analysis of 14 e-health startups in Norway, shows that responsibility is highly prevalent. Entrepreneurs have instant contact with users (patients or healthcare professionals), which increases inclusiveness, anticipation and reflection as the main elements of responsibility. However, firms’ contextual and strategic awareness of responsibility remains low, which means an absence of focused strategies to exercise responsibility. Consequently, entrepreneurial startups are prevented from reaching broader stakeholders and fully reflecting the knowledge obtained. Moreover, RI activities are often bundled with other activities on the “path” to successful commercialization. This paper contributes to and enriches the current RI understanding from a firm perspective and suggests some implications for practitioners as well as policymakers to enhance sustainable development in the healthcare sector.
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Jain, Neha, i Ratan Raigar. "Ethical Implications of Technology in the Digital Era: A Call for Responsible Innovation". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 10, nr 2 (10.09.2019): 1145–47. http://dx.doi.org/10.61841/turcomat.v10i2.14383.
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Thе ceaseless technological advances in the digital age have shaped our lives in countless ways, transforming communication, shopping, and our comprеhеnsion of the world around us. while thеsе Innovations. Havе Certainly Ushеrd in an еra of unprеcеdntеnc and connеncity, thеy Also Unrthеd a labyrinth of ethical dilеmmas, dеmanding a thorough еxamination of through. е social rеpеrcussions of our Digital Dеcisions. This rеsеarch papеr begins to explore thе ethical landscape of thе digital age, dissеcting thе multifacеtеd challenges posed by technology and recommending a common framework for rеsponsiblе innovation. At the heart of thеsе ethical concerns is technology that will exacerbate existing social inеquitiеs. Algorithmic bias, a persistent issue in the digital rеalm, can harbor discrimination and prejudice, reinforce social power dynamics and limit opportunities for marginalized groups. Great digital tеchnologies have also raised alarming concerns about privacy and data security. The collection and analysis of vast amounts of personal data has created unprecedented opportunities for surveillance, targeted advertising and manipulation, casting a shadow over individual freedom, informed consent and control over personal information.
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Buonocore, Filomena, Maria Carmela Annosi, Davide de Gennaro i Filomena Riemma. "Digital transformation and social change: Leadership strategies for responsible innovation". Journal of Engineering and Technology Management 74 (październik 2024): 101843. http://dx.doi.org/10.1016/j.jengtecman.2024.101843.
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Stahl, Bernd Carsten. "From Corporate Digital Responsibility to Responsible Digital Ecosystems". Sustainability 16, nr 12 (11.06.2024): 4972. http://dx.doi.org/10.3390/su16124972.
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The significant and rapidly growing impact that digital technologies has on all aspects of our lives has raised awareness of benefits but also concerns and worries linked to the development and use of these technologies. The concept of responsibility, as expressed in terms such as corporate social responsibility or responsible research and innovation, represents one well-established discourse and a set of practices that are used to deal with social and ethical concerns and which are now a well-established part of the broader sustainability literature. Recently, a novel discourse has gained prominence that specifically explores the question of which responsibilities arise for organisations based on their engagement with digital technologies. This discourse uses the term ‘corporate digital responsibility’ to describe how organisations can understand, shape, and discharge their responsibilities not just in a narrow economic sense, but also their broader moral, social and environmental responsibilities. This article takes its point of departure from the corporate digital responsibility discussion and aims to contribute to the theoretical underpinnings of the term. This article suggests that an appropriate metaphor to approach the reality of current socio-technical systems is that of an “ecosystem”. This metaphor accommodates many of the systems features of contemporary digital technologies, but it clashes with traditional conceptions of responsibility. This article argues that a concept of responsible digital ecosystems is a precondition for the successful ascription of responsibilities in digital contexts. Such ecosystems can be understood as systems that are designed to foster and support existing and novel responsibilities, that align responsibility ascriptions with a view to achieve desirable and acceptable outcomes. Based on these ideas of responsible digital ecosystems, this article spells out some of the implications for research and practice that the adoption of this conceptual framework entails.
Rozprawy doktorskie na temat "Responsible Digital Innovation"
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Haidar, Ahmad. "Responsible Artificial Intelligence : Designing Frameworks for Ethical, Sustainable, and Risk-Aware Practices". Electronic Thesis or Diss., université Paris-Saclay, 2024. https://www.biblio.univ-evry.fr/theses/2024/interne/2024UPASI008.pdf.
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L'intelligence artificielle (IA) transforme rapidement le monde, redéfinissant les relations entre technologie et société. Cette thèse explore le besoin essentiel de développer, de gouverner et d'utiliser l'IA et l'IA générative (IAG) de manière responsable et durable. Elle traite des risques éthiques, des lacunes réglementaires et des défis associés aux systèmes d'IA, tout en proposant des cadres concrets pour promouvoir une Intelligence Artificielle Responsable (IAR) et une Innovation Numérique Responsable (INR).La thèse commence par une analyse approfondie de 27 déclarations éthiques mondiales sur l'IA pour identifier des principes dominants tels que la transparence, l'équité, la responsabilité et la durabilité. Bien que significatifs, ces principes manquent souvent d'outils pratiques pour leur mise en œuvre. Pour combler cette lacune, la deuxième étude de la recherche présente un cadre intégrateur pour l'IAR basé sur quatre dimensions : technique, IA pour la durabilité, juridique et gestion responsable de l'innovation.La troisième partie de la thèse porte sur l'INR à travers une étude qualitative basée sur 18 entretiens avec des gestionnaires de secteurs divers. Cinq dimensions clés sont identifiées : stratégie, défis spécifiques au numérique, indicateurs de performance organisationnels, impact sur les utilisateurs finaux et catalyseurs. Ces dimensions permettent aux entreprises d'adopter des pratiques d'innovation durable et responsable tout en surmontant les obstacles à leur mise en œuvre.La quatrième étude analyse les risques émergents liés à l'IAG, tels que la désinformation, les biais, les atteintes à la vie privée, les préoccupations environnementales et la suppression d'emplois. À partir d'un ensemble de 858 incidents, cette recherche utilise une régression logistique binaire pour examiner l'impact sociétal de ces risques. Les résultats soulignent l'urgence d'établir des cadres réglementaires renforcés, une responsabilité numérique des entreprises et une gouvernance éthique de l'IA.En conclusion, cette thèse apporte des contributions critiques aux domaines de l'INR et de l'IAR en évaluant les principes éthiques, en proposant des cadres intégratifs et en identifiant des risques émergents. Elle souligne l'importance d'aligner la gouvernance de l'IA sur les normes internationales afin de garantir que les technologies d'IA servent l'humanité de manière durable et équitableArtificial Intelligence (AI) is rapidly transforming the world, redefining the relationship between technology and society. This thesis investigates the critical need for responsible and sustainable development, governance, and usage of AI and Generative AI (GAI). The study addresses the ethical risks, regulatory gaps, and challenges associated with AI systems while proposing actionable frameworks for fostering Responsible Artificial Intelligence (RAI) and Responsible Digital Innovation (RDI).The thesis begins with a comprehensive review of 27 global AI ethical declarations to identify dominant principles such as transparency, fairness, accountability, and sustainability. Despite their significance, these principles often lack the necessary tools for practical implementation. To address this gap, the second study in the research presents an integrative framework for RAI based on four dimensions: technical, AI for sustainability, legal, and responsible innovation management.The third part of the thesis focuses on RDI through a qualitative study of 18 interviews with managers from diverse sectors. Five key dimensions are identified: strategy, digital-specific challenges, organizational KPIs, end-user impact, and catalysts. These dimensions enable companies to adopt sustainable and responsible innovation practices while overcoming obstacles in implementation.The fourth study analyzes emerging risks from GAI, such as misinformation, disinformation, bias, privacy breaches, environmental concerns, and job displacement. Using a dataset of 858 incidents, this research employs binary logistic regression to examine the societal impact of these risks. The results highlight the urgent need for stronger regulatory frameworks, corporate digital responsibility, and ethical AI governance. Thus, this thesis provides critical contributions to the fields of RDI and RAI by evaluating ethical principles, proposing integrative frameworks, and identifying emerging risks. It emphasizes the importance of aligning AI governance with international standards to ensure that AI technologies serve humanity sustainably and equitably
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CHIESA, GIACOMO. "METRO (Monitoring Energy and Technological Real time data for Optimization) innovative responsive conception for cityfutures". Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2560136.
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Il dato, interrelato con i processi di produzione, estrazione, derivazione, analisi, interpretazione, utilizzo e visualizzazione, e le tecnologie di informazione e comunicazione stanno cambiando velocemente aprendo a nuove implicazioni di natura architettonico-progettuale alle diverse scale (urbana, di edificio e impiantistica).
Siamo di fronte ad una fase di innovazione e cambiamento nel rapporto uomo-tecnologia, stimolata soprattutto dal rapido sviluppo delle ICT e della loro pervasività nella vita quotidiana, tale da evidenziare la necessità di ridisegnare totalmente i tool concettuali per la loro comprensione e il loro consapevole utilizzo.
Le ripercussioni indotte dalle innovazioni ICT sui processi e sulle attività umane possono essere localizzate intorno a quattro macro assi (the OnLife initiative):
1. la riduzione dei confini tra mondo reale e mondo virtuale;
2. l’ibridazione tra mondo naturale e mondo artificiale;
3. il passaggio dalla scarsità all’abbondanza di informazioni;
4. il passaggio dal primato dell’entità al primato dell’interazione.
La ricerca dottorale ha sviluppato analisi, applicazioni e simulazioni di applicazione alle diverse scale e un ragionamento teorico inerente questa tematica, con particolare riguardo ai punti 1,3 e 4. Per validare il ragionamento teorico sulle ICT e sulle implicazioni di natura metodologica sul fare progetto (modello digitale come strumento di progetto e non solo di rappresentazione – I era digitale (Oxman 2006) e implementazione del concetto di II e III era), ci si è appoggiati ad un campo di ricerca specifico identificato con il raffrescamento passivo degli edifici.
L’attività di ricerca
La ricerca dottorale ha come obiettivi lo studio teorico e la dimostrazione pratica, tramite campagne di monitoraggio e di produzione di dati, delle implicazioni progettuali, alle diverse scale (impianto, edificio, città) dovute alla disponibilità di grandi quantità di dati in tempo reale. Implicazioni che riguardano il progetto, la valutazione, l’esercizio, la manutenzione e l’ottimizzazione grazie all’utilizzo di dati provenienti dal mondo reale nei modelli e nelle simulazioni virtuali. Viene altresì analizzato come i concetti di smart building e smart city cambino il rapporto tra cittadino, imprese e amministrazioni.
La ricerca ha utilizzato un approccio sperimentale in situ e in laboratorio e un approccio teorico.
Nel corso del dottorato sono stati analizzati dati pluriennali derivati dal monitoraggio del sistema geotermico ad aria installato nella scuola media “Orsini” di Imola. Parallelamente all’analisi in situ, si è contribuito, all’interno del gruppo di ricerca H-NAC, alla creazione di un laboratorio per il monitoraggio di sistemi e soluzioni per il raffrescamento passivo. Le attrezzature di laboratorio hanno permesso di progettare e condurre una campagna di monitoraggio e analisi dati volta a verificare il funzionamento di una torretta evaporativa diretta al variare delle condizioni ambientali, simulate tramite UTA. La fase di produzione dati ha permesso di testare una piattaforma di sensori e datalogger appositamente progettata e basata su soluzioni open source. I risultati del monitoraggio sono stati comparati con alcuni metodi semplificati per la stima delle temperature in uscita da torrette evaporative per il raffrescamento ventilativo al fine di implementare l’applicabilità e gli strumenti di controllo delle tecniche di raffrescamento passive.
Queste esperienze hanno permesso di definire schemi e diagrammi di flusso per il controllo del funzionamento di sistemi H-NAC (Hybrid-Natural Air Conditioning). Si è verificata la possibilità di utilizzare soluzioni hardware e software open source (nello specifico basate sulla piattaforma di prototipazione elettronica rapida Arduino) sia per i monitoraggi in laboratorio (in corso e futuri) riguardo i sottosistemi di raffrescamento e il modulo parete, sia per la gestione del funzionamento del sistema completo. Nel corso della ricerca dottorale è stato sviluppato un modello in scala atto a dimostrare l’applicabilità di dette soluzioni al controllo di un sistema semplificato di illuminazione abbinato a schemi solari mobili controllati da un servomotore. Il funzionamento del sistema mira a garantire un valore di illuminamento interno massimizzando l’utilizzo della radiazione solare tramite l’impiego di appositi sensori interni e esterni. Il modello reale è stato interfacciato con un modello virtuale CAD capace di modificarsi in real time, permettendo di studiare possibili interrelazioni tra i due mondi. L’applicabilità di soluzioni open source per la produzione dati real time è stata ulteriormente testata simulando una campagna di monitoraggio diffusa utilizzando nodi di sensori geo-posizionati in tre diversi edifici in Torino. Partendo da questo primo studio di applicabilità si è elaborato un quadro di possibili applicazioni dell’utilizzo di grandi moli di dati di bassa qualità prodotti dalla diffusione di soluzioni IoT (long tail del dato). Questa sperimentazione è riportata al capitolo monitoraggio real time, il dato al tempo delle reti.
Le implicazioni teoriche
La connessione in rete di nodi in grado di raccogliere, comunicare e trasmettere dati, sta diventando una realtà concreta per le città del futuro. Gli approcci sono, anche in questo caso, diversi. Piattaforme proprietarie costituiscono strumenti di grande qualità che, tuttavia, comportano alcuni rischi per quel che concerne la proprietà e l’accesso ai dati, soprattutto in un contesto di commistione tra il pubblico e il privato.
Le applicazioni pratiche hanno permesso di articolare un discorso teorico di supporto a questa argomentazione che è stato sviluppato nelle conclusioni della ricerca dottorale dedicate a studiare tre macro tematiche:
- il modello scientifico come strumento di progetto nel quale convertono tecnologie e strumenti innovativi informatici per il progetto di natura virtuale, reale o di integrazione. La crescente consapevolezza delle potenzialità dei mezzi digitali a supporto del progetto stanno modificando le modalità progettuali sommando alla semplice rappresentazione altre funzionalità specifiche di natura tecnica e decisionale. Le possibilità portate dalle tecnologie digitali per il progetto sono studiate in base alle ricadute, alla complessità e vastità delle implicazioni utilizzando i concetti di I, II e III era digitale;
- le piattaforme, gli spazi di gestione e il progetto. Le piattaforme sono lo spazio, fisico o virtuale, di decisione e gestione dei processi (progettuali, decisionali, organizzativi), dove le competenze e le tecniche si incontrano secondo specifiche modalità. Nelle piattaforme vengono gestite le diverse fasi che seguono il processo dei dati dalla produzione all’utilizzo, sfruttando tecniche di modellizzazione e materializzione. Per questa ragione le piattaforme si configurano come luoghi di gestione della complessità.
- il dato e la sua proprietà. Questo capitolo studia le implicazioni che le diverse modalità di produzione, utilizzo e diffusione dei dati e dell'informazione hanno sulle città e sugli abitanti mettendo in relazione gli interessi collettivi o individuali con l’apertura o la protezione dei sistemi utilizzati.
Dallo studio emerge la necessità di valutare, sin dalle prime fasi decisionali di implementazione dei piani strategici per le SmartCity, le implicazioni che le tecnologie ICT e digitali in generale hanno e potranno avere sul tessuto sociale, sul tessuto urbanistico e architettonico nel loro doppio ruolo abilitante e coevolutivo.
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Voarino, Nathalie. "Systèmes d’intelligence artificielle et santé : les enjeux d’une innovation responsable". Thèse, 2019. http://hdl.handle.net/1866/23526.
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L’avènement de l’utilisation de systèmes d’intelligence artificielle (IA) en santé s’inscrit dans le cadre d’une nouvelle médecine « haute définition » qui se veut prédictive, préventive et personnalisée en tirant partie d’une quantité inédite de données aujourd’hui disponibles. Au cœur de l’innovation numérique en santé, le développement de systèmes d’IA est à la base d’un système de santé interconnecté et auto-apprenant qui permettrait, entre autres, de redéfinir la classification des maladies, de générer de nouvelles connaissances médicales, ou de prédire les trajectoires de santé des individus en vue d’une meilleure prévention. Différentes applications en santé de la recherche en IA sont envisagées, allant de l’aide à la décision médicale par des systèmes experts à la médecine de précision (ex. ciblage pharmacologique), en passant par la prévention individualisée grâce à des trajectoires de santé élaborées sur la base de marqueurs biologiques.
Des préoccupations éthiques pressantes relatives à l’impact de l’IA sur nos sociétés émergent avec le recours grandissant aux algorithmes pour analyser un nombre croissant de données relatives à la santé (souvent personnelles, sinon sensibles) ainsi que la réduction de la supervision humaine de nombreux processus automatisés. Les limites de l’analyse des données massives, la nécessité de partage et l’opacité des décisions algorithmiques sont à la source de différentes préoccupations éthiques relatives à la protection de la vie privée et de l’intimité, au consentement libre et éclairé, à la justice sociale, à la déshumanisation des soins et du patient, ou encore à la sécurité. Pour répondre à ces enjeux, de nombreuses initiatives se sont penchées sur la définition et l’application de principes directeurs en vue d’une gouvernance éthique de l’IA. L’opérationnalisation de ces principes s’accompagne cependant de différentes difficultés de l’éthique appliquée, tant relatives à la portée (universelle ou plurielle) desdits principes qu’à la façon de les mettre en pratique (des méthodes inductives ou déductives).
S’il semble que ces difficultés trouvent des réponses dans la démarche éthique (soit une approche sensible aux contextes d’application), cette manière de faire se heurte à différents défis. L’analyse des craintes et des attentes citoyennes qui émanent des discussions ayant eu lieu lors de la coconstruction de la Déclaration de Montréal relativement au développement responsable de l’IA permet d’en dessiner les contours. Cette analyse a permis de mettre en évidence trois principaux défis relatifs à l’exercice de la responsabilité qui pourrait nuire à la mise en place d’une gouvernance éthique de l’IA en santé : l’incapacitation des professionnels de santé et des patients, le problème des mains multiples et l’agentivité artificielle. Ces défis demandent de se pencher sur la création de systèmes d’IA capacitants et de préserver l’agentivité humaine afin de favoriser le développement d’une responsabilité (pragmatique) partagée entre les différentes parties prenantes du développement des systèmes d’IA en santé. Répondre à ces différents défis est essentiel afin d’adapter les mécanismes de gouvernance existants et de permettre le développement d’une innovation numérique en santé responsable, qui doit garder l’humain au centre de ses développements.The use of artificial intelligence (AI) systems in health is part of the advent of a new "high definition" medicine that is predictive, preventive and personalized, benefiting from the unprecedented amount of data that is today available. At the heart of digital health innovation, the development of AI systems promises to lead to an interconnected and self-learning healthcare system. AI systems could thus help to redefine the classification of diseases, generate new medical knowledge, or predict the health trajectories of individuals for prevention purposes. Today, various applications in healthcare are being considered, ranging from assistance to medical decision-making through expert systems to precision medicine (e.g. pharmacological targeting), as well as individualized prevention through health trajectories developed on the basis of biological markers. However, urgent ethical concerns emerge with the increasing use of algorithms to analyze a growing number of data related to health (often personal and sensitive) as well as the reduction of human intervention in many automated processes. From the limitations of big data analysis, the need for data sharing and the algorithmic decision ‘opacity’ stems various ethical concerns relating to the protection of privacy and intimacy, free and informed consent, social justice, dehumanization of care and patients, and/or security. To address these challenges, many initiatives have focused on defining and applying principles for an ethical governance of AI. However, the operationalization of these principles faces various difficulties inherent to applied ethics, which originate either from the scope (universal or plural) of these principles or the way these principles are put into practice (inductive or deductive methods). These issues can be addressed with context-specific or bottom-up approaches of applied ethics. However, people who embrace these approaches still face several challenges. From an analysis of citizens' fears and expectations emerging from the discussions that took place during the coconstruction of the Montreal Declaration for a Responsible Development of AI, it is possible to get a sense of what these difficulties look like. From this analysis, three main challenges emerge: the incapacitation of health professionals and patients, the many hands problem, and artificial agency. These challenges call for AI systems that empower people and that allow to maintain human agency, in order to foster the development of (pragmatic) shared responsibility among the various stakeholders involved in the development of healthcare AI systems. Meeting these challenges is essential in order to adapt existing governance mechanisms and enable the development of a responsible digital innovation in healthcare and research that allows human beings to remain at the center of its development.
Książki na temat "Responsible Digital Innovation"
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Iakovleva, Tatiana, Elin Oftedal i John Bessant. Responsible Innovation in Digital Health. Edward Elgar Publishing, 2019. http://dx.doi.org/10.4337/9781788975063.
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Bessant, John. Responsible Innovation in Digital Health: Empowering the Patient. Elgar Publishing Limited, Edward, 2019.
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Lütge, Christopher, i Marianne Thejls Ziegler. Evolving Business Ethics: Integrity, Experimental Method and Responsible Innovation in the Digital Age. Metzler'sche Verlagsbuchhandlung & Carl Ernst Poeschel GmbH, J. B., 2022.
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Trepulė, Elena, Airina Volungevičienė, Margarita Teresevičienė, Estela Daukšienė, Rasa Greenspon, Giedrė Tamoliūnė, Marius Šadauskas i Gintarė Vaitonytė. Guidelines for open and online learning assessment and recognition with reference to the National and European qualification framework: micro-credentials as a proposal for tuning and transparency. Vytauto Didžiojo universitetas, 2021. http://dx.doi.org/10.7220/9786094674792.
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These Guidelines are one of the results of the four-year research project “Open Online Learning for Digital and Networked Society” (2017-2021). The project objective was to enable university teachers to design open and online learning through open and online learning curriculum and environment applying learning analytics as a metacognitive tool and creating open and online learning assessment and recognition practices, responding to the needs of digital and networked society. The research of the project resulted in 10 scientific publications and 2 studies prepared by Vytautas Magnus university Institute of Innovative Studies research team in collaboration with their international research partners from Germany, Spain and Portugal. The final stage of the research attempted creating open and online learning assessment and recognition practices, responding to the learner needs in contemporary digital and networked society. The need for open learning recognition has been increasing during the recent decade while the developments of open learning related to the Covid 19 pandemics have dramatically increased the need for systematic and high-quality assessment and recognition of learning acquired online. The given time also relates to the increased need to offer micro-credentials to learners, as well as a rising need for universities to prepare for micro-credentialization and issue new digital credentials to learners who are regular students, as well as adult learners joining for single courses. The increased need of all labour - market participants for frequent and fast renewal of competences requires a well working and easy to use system of open learning assessment and recognition. For learners, it is critical that the micro-credentials are well linked to national and European qualification frameworks, as well as European digital credential infrastructures (e.g., Europass and similar). For employers, it is important to receive requested quality information that is encrypted in the metadata of the credential. While for universities, there is the need to properly prepare institutional digital infrastructure, organizational procedures, descriptions of open learning opportunities and virtual learning environments to share, import and export the meta-data easily and seamlessly through European Digital Hub service infrastructures, as well as ensure that academic and administrative staff has digital competencies to design, issue and recognise open learning through digital and micro-credentials. The first chapter of the Guidelines provides a background view of the European Qualification Framework and National Qualification frameworks for the further system of gaining, stacking and modelling further qualifications through open online learning. The second chapter suggests the review of current European policy papers and consultations on the establishment of micro-credentials in European higher education. The findings of the report of micro-credentials higher education consultation group “European Approach to Micro-credentials” is shortly introduced, as well as important policy discussions taking place. Responding to the Rome Bologna Comunique 2020, where the ministers responsible for higher education agreed to support lifelong learning through issuing micro-credentials, a joint endeavour of DG Employment, Social Affairs and Inclusion and DG Research and Innovation resulted in one of the most important political documents highlighting the potential of micro-credentials towards economic, social and education innovations. The consultation group of experts from the Member States defined the approach to micro-credentials to facilitate their validation, recognition and portability, as well as to foster a larger uptake to support individual learning in any subject area and at any stage of life or career. The Consultation Group also suggested further urgent topics to be discussed, including the storage, data exchange, portability, and data standards of micro-credentials and proposed EU Standard of constitutive elements of micro-credentials. The third chapter is devoted to the institutional readiness to issue and to recognize digital and micro-credentials. Universities need strategic decisions and procedures ready to be enacted for assessment of open learning and issuing micro-credentials. The administrative and academic staff needs to be aware and confident to follow these procedures while keeping the quality assurance procedures in place, as well. The process needs to include increasing teacher awareness in the processes of open learning assessment and the role of micro-credentials for the competitiveness of lifelong learners in general. When the strategic documents and procedures to assess open learning are in place and the staff is ready and well aware of the processes, the description of the courses and the virtual learning environment needs to be prepared to provide the necessary metadata for the assessment of open learning and issuing of micro-credentials. Different innovation-driven projects offer solutions: OEPass developed a pilot Learning Passport, based on European Diploma Supplement, MicroHE developed a portal Credentify for displaying, verifying and sharing micro-credential data. Credentify platform is using Blockchain technology and is developed to comply with European Qualifications Framework. Institutions, willing to join Credentify platform, should make strategic discussions to apply micro-credential metadata standards. The ECCOE project building on outcomes of OEPass and MicroHE offers an all-encompassing set of quality descriptors for credentials and the descriptions of learning opportunities in higher education. The third chapter also describes the requirements for university structures to interact with the Europass digital credentials infrastructure. In 2020, European Commission launched a new Europass platform with Digital Credential Infrastructure in place. Higher education institutions issuing micro-credentials linked to Europass digital credentials infrastructure may offer added value for the learners and can increase reliability and fraud-resistant information for the employers. However, before using Europass Digital Credentials, universities should fulfil the necessary preconditions that include obtaining a qualified electronic seal, installing additional software and preparing the necessary data templates. Moreover, the virtual learning environment needs to be prepared to export learning outcomes to a digital credential, maintaining and securing learner authentication. Open learning opportunity descriptions also need to be adjusted to transfer and match information for the credential meta-data. The Fourth chapter illustrates how digital badges as a type of micro-credentials in open online learning assessment may be used in higher education to create added value for the learners and employers. An adequately provided metadata allows using digital badges as a valuable tool for recognition in all learning settings, including formal, non-formal and informal.
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SAHAIDAK, Mykhailo, red. STRATEGIC IMPERATIVES OF MODERN MANAGEMENT. Kyiv National Economic University named after Vadym Hetman, 2024. http://dx.doi.org/10.35668/978-966-926-500-5.
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This study examines issues of modern management and trends in its development. Its evolution from the end of the 19th century to the present is presented. The current state of management systems is analyzed, attention is paid to trends in the development of management science and practice, which have developed and are still being formed, as well as objective factors that affect the specified process. Globalization, as a phenomenon, is a complex and multifaceted process that affects various aspects of society, economy, and politics. In the context of business and management, globalization creates new opportunities for the development of international businesses, but at the same time poses challenges and threats associated with competition, cultural differences, and regulation. The main approaches to evaluating the business model of an enterprise are summarized. The principles of business model evaluation based on the principles of its innovativeness, adaptability and sustainability are defined. A system of evaluation methods and tools is formed, the conditions for their application, tasks and opportunities for making management decisions based on the evaluation are identified. A comparative assessment of the features of the formation of generations X, Y, Z, Alpha, events that formed these generations was carried out; their values, attitude to work, desire for feedback. It is noted that the theory of generations plays an important role in understanding these features and forming strategies for managing the development of human capital, since each generation has its own values, beliefs and approaches to work and learning. The issue of building an effective personnel motivation system at the enterprise is under consideration. The essence and advantages of implementing the policy of diversity and inclusion at modern enterprises are considered. It was emphasized that compliance with the policy of personnel diversity and inclusion of the workplace will allow attracting and retaining the necessary employees with high motivational readiness at the enterprise. The examines and analyzes contemporary challenges facing enterprises in a dynamic business environment, particularly in the context of the necessity for digital transformation and the formation of digital intelligence to ensure competitiveness. Proposed practical recommendations for organizations on the effective implementation of digital innovations in strategic management and achieving competitive advantage in a dynamic business environment. The study results of the influence of ESG and sustainability ratings on the multinational banks' war response strategies based on the Yale CELI database of companies leaving and staying in Russia are presented. It presents various aspects of sustainable development management in the context of modern management. The impact of globalization on the process of managing sustainable development and the role of public administration in this context are also considered. Additionally, the integration of sustainability concepts into local management practices and ethical aspects related to sustainability management are highlighted. Substantiates the importance of transition to an adaptive approach in the state regulation of investment activity and increase of the country's investment attractiveness in modern conditions. It has been established that adaptive regulation contributes to the achievement of stability and efficiency in the economic system, rapid response to external and internal challenges. The advisability of improving the methodologies of ESG rating providers is substantiated. The special importance of the leadership institute for the development of ecosocial management was revealed and, as a result, an analysis of the activities of the most successful innovative leaders of today was carried out, the result of which is the sustainable development and successful implementation of ecosocial management mechanisms at modern enterprises. It is established that today digital transformation is the use of digital technologies as a tool for reengineering business processes in higher education institutions. The main problematic aspects of the digitalization of education include the problem of adopting innovations, increasing the additional workload of teachers, shifting the vector of pedagogical work, and digital inequality. The challenges arising in the higher education system due to the development of artificial intelligence are identified in the results of scientific research. Artificial intelligence is revealed to be an important enabling mechanism for expanding teaching and learning opportunities, administering the educational process, and enhancing research potential. Higher education institutions can harness the transformative potential of artificial intelligence by using it responsibly and effectively. Based on a comprehensive analysis of real-life examples and research, the opportunities and challenges posed by MOOCs are discussed, as well as their implications for the future of quality provision in higher education.
Części książek na temat "Responsible Digital Innovation"
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Jin, Boyi, Martin J. Liu, Jun Luo i Russa Yuan. "Understanding Irresponsibility in Digital Advertising". W Responsible Innovation Management, 79–94. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4480-2_5.
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Chen, Ying, i Fangli Zeng. "Dark Side of Digitalisation: Discussion on Digital Assets Leakage and Its Protection Mechanisms in Operations and Supply Chain Research". W Responsible Innovation Management, 65–78. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4480-2_4.
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Inglesant, Philip, Helena Webb, Carolyn Ten Holter, Menisha Patel i Marina Jirotka. "The Responsible Innovation of Disruptive Technologies". W The SAGE Handbook of Digital Society, 501–20. 1 Oliver's Yard, 55 City Road London EC1Y 1SP: SAGE Publications Ltd, 2023. http://dx.doi.org/10.4135/9781529783193.n28.
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Schiffhauer, Birte, i Udo Seelmeyer. "Responsible Digital Transformation of Social Welfare Organizations". W Digital Transformation of Learning Organizations, 131–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-55878-9_8.
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AbstractDigitalization will extensively change what kind of social services social welfare states will provide in the future and how these services are delivered. In addition, organization and financing will alter fundamentally. In Germany, a greater part of social services is organized by social welfare organizations. Digitalization will not only change social services, but also social welfare organizations. Until now, systematic concepts about responsible digital transformation for social welfare organizations are missing and there are no models for social welfare organizations to initiate, design and implement social innovation processes. This chapter gives an overview about organizational development and innovation in the context of social services. Further, ideas for a responsible digital transformation of social welfare organizations are provided and illustrated by an example of the social welfare organization: Workers’ Samaritan Federation North Rhine-Westphalia registered association (ASB NRW e.V.).
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Crampton, Jeremy. "How Digital Geographies Render Value: Geofences, the Blockchain, and the Possibilities of Slow Alternatives". W Knowledge and Digital Technology, 257–79. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-39101-9_14.
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AbstractThis chapter proceeds in two parts. First, it situates the way that digital geographies render value by creating new markets for the creation, extraction, and capture of that value. Two digital geographies are highlighted: geofences/geoframing and cryptocurrencies on the blockchain. Drawing on the renewed interest in theorizing the digital urban growth machine, I analyze these new markets as forms of toxic innovation dominated by a focus on growth and extractive value. Second, I examine the possibilities for alternative responsible innovation that creates social value, which I call the Slow Data Economy. Inspired by the ethics of slowness, slow data centers accountability, the human-in-the-loop, local co-design, and vision making for the future city. By working with the possibilities of responsible innovation, I explore how the Slow Data Economy can be a form of “capital switching” in which investment is switched from a focus on growth and extraction to care and repair.
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Frissen, Valerie. "Working with Big Data and Al: Toward Balanced and Responsible Working Practices". W Digital Innovation and the Future of Work, 111–36. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337928-6.
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Stahl, Bernd Carsten. "Ethics of European Institutions as Normative Foundation of Responsible Research and Innovation in ICT". W Information Cultures in the Digital Age, 207–19. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-14681-8_12.
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Lauria, Massimo, i Maria Azzalin. "Digital Twin Approach for Maintenance Management". W The Urban Book Series, 237–46. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29515-7_22.
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AbstractAfter years of slightest attention to the environment, low productivity, and least rates of technological innovation, the construction sector has started a slow but in-depth review of its statutes and priorities. The ongoing ecological and digital transition opens to new opportunities connected to the implemental policies of Industry 4.0—at now Industry 5.0—and related enabling technologies. Opportunities that strongly reaffirm the need for innovative, responsible, and sustainable governance of the life cycle of buildings, placing it in the new perspective of Digital Twin approach. Starting from this scenario, the paper presents some ongoing upgrade of a maintenance management model expressly aimed at optimizing activities in the operation and maintenance phase from which evident economic, environmental, and social extra costs arise.
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Filippi, Mauro, Salvatore Di Dio, Domenico Schillaci, Stefano Malorni, Angelo Scuderi i Sabrina Guzzo. "Conversation Design for Raising Awareness on the Responsible Use of the Internet". W Springer Series in Design and Innovation, 773–82. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-49811-4_74.
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AbstractThe rapid process of digital transformation and servitization experienced on a global scale in recent decades, further accelerated by the pandemic crisis, has radically altered the life experience of societies, with technological innovations leading to the emergence of new ethical and legal challenges. The issue of digital literacy and the acquisition of basic skills for responsible use of the internet has become one of the most urgent prerogatives in international government programs to address psychosocial phenomena such as those related to online grooming, cyberbullying, cybersuicide, cyber racing, or online scamming. The proposed work introduces the use of participatory game design as an empowerment tool for young students. The case study of the NetWalking project, developed by an interdisciplinary team of practitioners and researchers in several secondary schools in the city of Palermo (Italy), describes the experimentation of co-design activities of an edugame with a conversational interface (chatbot), which exploits the logic of nonlinear storytelling to actively engage students in playful learning activities, contributing to the development of hard skills (STEM) and soft skills (self-assessment, teamwork and information management).
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Richter, Nancy, i Djanina Dragoeva. "Digital Entrepreneurship and Agile Methods—A Hackathon Case Study". W Digital Entrepreneurship, 51–68. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53914-6_3.
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Abstract“What if, when they ask ‘Alexa, where can I do something here tonight?’, travellers no longer receive the answer ‘I don’t know’? And, could start-ups use all tourist data freely and without restriction to develop innovative applications for travellers at any time?” (“German National Tourist Board”, n.d.). These and similar questions are currently being asked by those responsible for tourism marketing and product development, such as destination management organisations (DMO: “Public or public–private entity whose aim is to foster, plan and coordinate the tourism development of a destination as a whole”.) (“IGI Global”, n.d.) in Germany. In particular, the travel destination Thuringia sees itself as a pioneer on topics such as AI, decentralised data structures and new types of interactions: “We were looking for a way to make the data of Thuringian tourism up-to-date, findable and freely usable and thus provide the path for open innovation and new technologies.” (Detlef Klinge, Thüringer Tourismus GmbH retrieved from “German National Tourist Board”, n.d.). To meet these challenges, the DMO relies on the processing of open data in a tourist content architecture and on entrepreneurial management methods such as the hackathon. This method, in turn, must be embedded in a holistic management approach; otherwise, creative results will be lost even before they come to the market. The question is how these technologies and management methods must be implemented in DMOs so that they generate sustainable competitive advantages and customer benefits for the respective travel destination.
Streszczenia konferencji na temat "Responsible Digital Innovation"
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Haydar, Hanna, Meral Kaya i Laura Ascenzi-Moreno. "MAPPING CULTURALLY RESPONSIVE-SUSTAINING PEDAGOGY AND EQUITABLE DIGITAL LITERACIES INTO TEACHER PREPARATION". W 17th annual International Conference of Education, Research and Innovation, 7698–707. IATED, 2024. https://doi.org/10.21125/iceri.2024.1870.
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Levshina, Olga. "Tendencies in the Transformation of Digital Entrepreneurship in Modern Resource-scarce Economy". W International Conference «Responsible Research and Innovation. Cognitive-crcs, 2017. http://dx.doi.org/10.15405/epsbs.2017.07.02.67.
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Kemppainen, Tiina, Markus Makkonen i Lauri Frank. "What Prevents Consumers from Making Responsible Online Purchases?" W 36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability. University of Maribor Press, 2023. http://dx.doi.org/10.18690/um.fov.6.2023.21.
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The objective of this qualitative study is to examine and describe what prevents consumers from making responsible online purchases. The data were collected during February and March 2023 with an online survey. The data comprises the respondents' (N=245) free-form written responses, in which they articulated and explained the factors that prevent their responsible online purchases. The findings indicate that external and internal factors can prevent consumers' responsible online purchases. While external factors – online stores – are mainly blamed for promoting irresponsible buying behavior, internal factors – consumers' individual characteristics – are also recognized to have an important role in irresponsible purchasing behavior. The external factors identified in this study include 1) pricing, 2) information, and 3) availability. The internal factors include 1) self-indulgence and 2) trust
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Alcaraz-Dominguez, Silvia, i Mario Barajas. "BUILDING RESPONSIBLE RESEARCH AND INNOVATION SKILLS: A DIGITAL REPOSITORY FOR STEM TEACHERS". W International Technology, Education and Development Conference. IATED, 2016. http://dx.doi.org/10.21125/inted.2016.1434.
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Zhou, Dan, Zhonghua Jiang, Yanni Fan i Jia Qi. "Developing Responsible Innovation Framework for Shanxi Intangible Cultural Heritage Digitization". W Proceedings of the 3rd International Conference on Art Design and Digital Technology, ADDT 2024, May 24–26, 2024, Luoyang, China. EAI, 2024. http://dx.doi.org/10.4108/eai.24-5-2024.2350118.
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Makkonen, Markus. "The Role of Anticipated Guilt and its Neutralisation in Explaining Responsible Online Shopping". W 36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability. University of Maribor Press, 2023. http://dx.doi.org/10.18690/um.fov.6.2023.38.
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Although responsible consumption has been the target of growing interest in academic research, the antecedents of responsible online shopping remain poorly understood. In this study, we address this gap in prior research by focusing on the role of anticipated guilt in explaining responsible online shopping. By using data from 479 Finnish consumers, we aim to answer two research questions: (1) how strong an antecedent of responsible online shopping intention is anticipated guilt in relation to other potential antecedents and (2) how efficiently can consumers regulate their resulting feelings of guilt by using different kinds of neutralisation techniques? We find anticipated guilt to be a strong antecedent of responsible online shopping intention and the denial of responsibility, the denial of injury, and the appeal to higher loyalties to be the most efficient neutralisation techniques for consumers to regulate their feelings of guilt that result from not engaging in responsible online shopping.
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Coffey, Aoife, Louise Burgoyne i Brendan Palmer. "Digital Badge in the Responsible Conduct of Research". W Learning Connections 2019: Spaces, People, Practice. University College Cork||National Forum for the Enhancement of Teaching and Learning in Higher Education, 2019. http://dx.doi.org/10.33178/lc.2019.03.
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University College Cork is committed to the highest standard of Research Integrity (RI). The recently published National Framework on the Transition to an Open Research Environment aims to move Ireland another step closer to an open research environment (National Open Research Forum, 2019). One of the central elements underpinning the framework is Research Integrity and Responsible Research practice. This is also reflective of the international emphasis on not only a more open research environment but on more transparent and robust research practices generally, with a particular focus on data management and availability ( Wilkinson et al., 2016). In 2016 a Research Integrity Pilot was run in the UCC Skills Centre in collaboration with the Office of the Vice President for Research and Innovation (OVPRI) and interested academics from the UCC community. Working closely with the Dean of Graduate studies, this pilot resulted in the development of the module PG6015 An Introduction to Research Integrity, Ethics and Open Science for postgraduate students. The new module did not address the needs of staff however, who needed an offering that was more condensed, targeted yet flexible when required. Along this developmental journey, UCC consulted with some leading experts in the field of Research Integrity (RI) by hosting, Prof. Philip DeShong and Prof. Robert Dooling from the University of Maryland via a Fulbright Specialist Award. This award facilitated real insight and a fuller understanding of what RI means together with the need for discipline specific discussion and debate around the topic of Responsible Conduct in Research in its fullest sense. In 2018, access to the Epigeum online course in Research Integrity was enabled through the National Research Integrity Forum. This course provides a good basis for learning in the area of RI but it does not address a need for a blended learning approach around the topics of Responsible Conduct of Research. Through this process began the genesis of an idea which in 2019 resulted in the development of the UCC Digital Badge in the Responsible Conduct of Research. Micro-credentials are a new and innovative learning platform that rewards learner effort outside of traditional pathways, digital badges are an example of these. The Digital Badge in the Responsible Conduct of Research is a research led, team based initiative developed through a unique interdisciplinary collaboration between central research services at UCC. The collaborative process has resulted in an offering that gives an integrated and comprehensive view of three distinct but related areas, Research Integrity, Research Data Management & the Fair Principles and Reproducible Research. Developed by OVPRI, UCC Library and the Clinical Research Facility-Cork (CRF-C), each of the collaborators were already providing training and resources in there own niche but realised a more holistic approach would be greater than the sum of its parts. The purpose of the Digital Badge is to foster and embed best practice and the key elements of Responsible Research in the UCC research community. It offers researchers an opportunity to address significant gaps in their skills and prepares them for the changes in the research landscape occurring both nationally and internationally.
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Bolotin, Yuri О., Dmitry А. Shevchenko, Gor А. Abramyan i Alexey N. Yeletsky. "Regional system of financial support for innovation in the conditions of macroeconomic turbulence". W Sustainable and Innovative Development in the Global Digital Age. Dela Press Publishing House, 2022. http://dx.doi.org/10.56199/dpcsebm.xvpg7204.
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Issues of regional development caused by significant volatility of macro-level socio-economic situation form new requirements to executive authorities, responsible for economic growth and the innovation activity increase in regions. The innovative sphere is one of the main recipients of investment in the economy of developing countries, and the current need to increase the number of innovative developments in the context of import substitution in the Russian economy only reinforces this trend at the regional level. The purpose of this study is to form a set of measures to improve the regional system of financial support for innovation in an unstable economic situation. As elements of novelty, the author's interpretation of the concept of a regional system of financial support for innovation, which is an open, holistic and self-reproducing set of efforts of the main stakeholders of innovative development of the regional economy, can be highlighted. This system develops under the influence of changing factors of exogenous and endogenous environment, which determine the financial constraints and institutional features of state financial support for innovation at the meso-level. The influence of the identified factors was analyzed by means of SWOT-analysis – the strategic planning tool. It allowed highlighting the key areas for the work of regional executive authorities in the sphere of innovative development of the economy. The authors proposed several measures to improve the regional system of financial support for innovation in the Rostov region in conditions of macroeconomic turbulence.
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Doucette, Karmun, i Janine Woo. "Building Digital Competencies and Cultivating Innovation in an Integrity Environment". W 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87051.
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Abstract Integrity programs utilize advanced inspection technology that generate gigabytes to terabytes of information for each inspection performed. Discussions of “Big Data” have permeated across all major platforms in the pipeline industry, from academic institutions, industry associations, to even commercial integrity management solution providers. While the management and governance of data is typically in the domain of Information Technology (IT) services, organizations are facing a data consumption problem: they are not able to fully realize the business value in their data. Data is generated at a far greater pace than most organizations can keep up with. There is a widening gap between the potential value suggested by the data, and the actual value in the outcomes achieved from the data itself. Bridging the value gap requires an innovative mindset that can conceive new approaches towards the application of data. Innovative solutions to existing problems can help organizations enhance their safety culture and work effectively towards achieving Environmental, Social, and Governance (ESG) goals. However, cultivating that mindset can be challenging in fast-paced, safety-critical environments where workday hours are filled with multiple priorities and stakeholder requests. Furthermore, the consumption of data is not without its risks. Aside from broader issues such as information security and ethical abuse, the unintentional misinterpretation of data is a concern that directly impacts the ability of operators to manage the safety of their pipeline systems. While technology and software applications can help mitigate risks associated with data misuse, a culture promoting data literacy and experimentation fosters a higher-level of care and ownership towards the responsible use of data. This paper presents the outcomes from a 2021 pilot program that combines data competency building with the cultivation of an innovative mindset. The program used a team-based “hackathon” like competition to provide a dedicated time and safe space for responsible, lean experimentation of digital problems. In this environment, teams explored innovative solutions to their day-to-day integrity challenges. The program develops technical competencies in data literacy, digital applications, scripting, and analytics; and soft skills including unstructured teamwork, communication, leadership, and a growth mindset. Projects leveraged solutions in areas of data visualization, analytics, automation, and machine learning to drive improvements in effective and efficient integrity management. Along with describing the framework of the program, the paper will also cover learnings from the experience, which highlight the importance of long-term investment in building digital competencies and effective, collaborative problem-solving skills. By empowering talent within an organization to drive their own innovative solutions, organizations can improve employee engagement and cultivate a greater sense of data stewardship, all while enhancing their integrity programs.
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Mazza, Barbara, i Elena Valentini. "The Quid Sapienza model: methods, tools and quality in the innovation of university teaching 4.0". W Tenth International Conference on Higher Education Advances. Valencia: Universitat Politècnica de València, 2024. http://dx.doi.org/10.4995/head24.2024.17218.
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The paper presents the approach adopted by Sapienza University to guide its professors through didactic transformation, analysing findings from a 2022 survey involving 465 professors who participated in the project on the Quality of Educational Innovation (Quid). The data have been analysed to identify commonly used teaching methods and learning strategies related to three approaches outlined in the theoretical framework (constructionist, interactionist, and socio-cultural approach). The results are also discussed in light of limits and critical issues on innovative didactics and digital transformation that emerged from interviews with figures responsible for innovative teaching projects in selected Italian and European universities. Digital transformation in the academic field does not imply introducing one digital or multimedia tool over another. Instead, it involves a cultural redefinition of the training objectives of the university system, recognising its potential in the face of social and cultural transformations in this millennium. The paper is also part of the studies conducted within the European Virtual Auditorium project (ERASMUS-EDU-2023-PI-FORWARD-LOT1; 2024-2027) on the evolution of innovative teaching.
Raporty organizacyjne na temat "Responsible Digital Innovation"
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Lehoux, Pascale, Hassane Alami, Carl Mörch, Lysanne Rivard, Robson Rocha i Hudson Silva. Can we innovate responsibly during a pandemic? Artificial intelligence, digital solutions and SARS-CoV-2. Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, czerwiec 2020. http://dx.doi.org/10.61737/ueti5496.
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As a part of the research project of the International Observatory on the societal impacts of AI and digital technology (OBVIA) regarding the societal effects of A.I. systems and digital tools deployed to combat the spread of COVID-19 and supported by the Québec Research Funds (FRQ), the In Fieri research team leaded by the professor Pascale Lehoux, have produced a policy brief for public decision-makers and developers of AI and digital solutions about responsible innovation during pandemic : Can we innovate responsibly during a pandemic? Artificial intelligence, digital solutions and SARS-CoV-2
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Burstein, Jill. Duolingo English Test Responsible AI Standards. Duolingo, marzec 2023. http://dx.doi.org/10.46999/vcae5025.
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Artificial intelligence (AI) is now instantiated in digital learning and assessment platforms. Many sectors, including tech, government, legal, and military sectors, now have used formalized principles to develop responsible AI standards. While there is a substantial literature around responsible AI more generally (e.g., Fjeld et al., 2020; Gianni et al., 2022; and, NIST, 20231 ), traditional validity frameworks (such as, Xi, 2010a; Chapelle et al., 2008; Kunnan, 2000; and, Kane, 1992) pre-date AI advances, and do not provide formal standards for the use of AI in assessment. The AERA/APA/NCME Standards (2014) pre-date modern AI advances, and include limited discussion about the use of AI and technology in educational measurement. Some research discusses AI application in terms of validity (such as Huggins-Manley et al., 2022, Williamson et al., 2012, and Xi, 2010b). In earlier work, Aiken and Epstein (2000) discuss ethical considerations for AI in education. More recently, Dignum (2021) proposed a high-level vision for responsible AI for education, and Dieterle et al (2022) and OECD (2023) discuss guidelines and issues associated with AI in testing. The Duolingo English Test (DET)’s Responsible AI Standards were informed by the ATP (2021) and ITC-ATP (2022) guidelines, which provide comprehensive and relevant guidelines about AI and technology use for assessment. New guidelines for responsible AI are continually being developed (Department for Science, Technology & Innovation, 2023).
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Ramírez Correa, Kaithie Del Mar. From Regular Face-to-Face Teaching to A Transformative Classroom During the Pandemic of Covid-19. Institucion Universitaria Colombo Americana, maj 2023. http://dx.doi.org/10.26817/paper.21.
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This study aims to describe a teacher’s experiences at a Colombian private college in response to the Covid-19 contingency. The document will report how the institution faced the challenge of transforming face-to-face classes to emergency instruction mediated by technology through an intervention made. A new team was created to oversee the institutional Educational Technology and Pedagogical Innovation area. This team was responsible for the technological teachers’ learning support so they could teach their online classes as a need created due to the lockdown for COVID 19. The main purpose was to identify the evolution of digital mindset, literacy, and competences within the group of teachers in the institution. All data has been collected through surveys, interviews, and class observations with teachers. In addition, in this paper it will be shown how the teachers’ digital mindset and competences emerged maintaining high standards of quality. Finally, the document will report how the intervention carried out permitted these teachers to transfer their already-strong teaching skills to virtuality resulting in best instructional practices
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Paule, Bernard, Flourentzos Flourentzou, Tristan de KERCHOVE d’EXAERDE, Julien BOUTILLIER i Nicolo Ferrari. PRELUDE Roadmap for Building Renovation: set of rules for renovation actions to optimize building energy performance. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541614638.
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In the context of climate change and the environmental and energy constraints we face, it is essential to develop methods to encourage the implementation of efficient solutions for building renovation. One of the objectives of the European PRELUDE project [1] is to develop a "Building Renovation Roadmap"(BRR) aimed at facilitating decision-making to foster the most efficient refurbishment actions, the implementation of innovative solutions and the promotion of renewable energy sources in the renovation process of existing buildings. In this context, Estia is working on the development of inference rules that will make it possible. On the basis of a diagnosis such as the Energy Performance Certificate, it will help establishing a list of priority actions. The dynamics that drive this project permit to decrease the subjectivity of a human decisions making scheme. While simulation generates digital technical data, interpretation requires the translation of this data into natural language. The purpose is to automate the translation of the results to provide advice and facilitate decision-making. In medicine, the diagnostic phase is a process by which a disease is identified by its symptoms. Similarly, the idea of the process is to target the faulty elements potentially responsible for poor performance and to propose remedial solutions. The system is based on the development of fuzzy logic rules [2],[3]. This choice was made to be able to manipulate notions of membership with truth levels between 0 and 1, and to deliver messages in a linguistic form, understandable by non-specialist users. For example, if performance is low and parameter x is unfavourable, the algorithm can gives an incentive to improve the parameter such as: "you COULD, SHOULD or MUST change parameter x". Regarding energy performance analysis, the following domains are addressed: heating, domestic hot water, cooling, lighting. Regarding the parameters, the analysis covers the following topics: Characteristics of the building envelope. and of the technical installations (heat production-distribution, ventilation system, electric lighting, etc.). This paper describes the methodology used, lists the fields studied and outlines the expected outcomes of the project.