Academic literature on the topic 'Ethics in technology (e.g., digital, artificial intelligence)'
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Journal articles on the topic "Ethics in technology (e.g., digital, artificial intelligence)"
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Labrecque, Cory Andrew. "To Tend or to Subdue? Technology, Artificial Intelligence, and the Catholic Ecotheological Tradition." Religions 13, no. 7 (June 30, 2022): 608. http://dx.doi.org/10.3390/rel13070608.
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In February 2020, the president of Microsoft, the executive vice president of IBM, the director general of the Food and Agriculture Organization (FAO) of the United Nations, and the former Italian Minister of Innovation joined the president of the Vatican’s Pontifical Academy for Life in Rome to sign The Rome Call for AI Ethics. In doing so, they promoted a shared sense of responsibility and commitment—by industry, government, and Church—to uphold certain ethical standards in the areas of digital innovation, artificial intelligence, and technological progress. In this article, I discuss The Rome Call for AI Ethics in conjunction with Pope Francis’ rendering of integral ecology and the technocratic paradigm in Laudato Si’. My aim here is to link Catholic teaching on technology (using AI as a starting point) to the environment and the ecological crisis.
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Egorova, Mariia A., Aleksei V. Minbaleev, Ol’ga V. Kozhevina, and Alain Dufolt. "Main directions of legal regulation of the use of artificial intelligence in the context of a pandemic." Vestnik of Saint Petersburg University. Law 12, no. 2 (2021): 250–62. http://dx.doi.org/10.21638/spbu14.2021.201.
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Artificial intelligence technologies are considered today as an integral part of the life of our society. Problems and research on the use of artificial intelligence is carried out at the intersection of many scientific fields. Jurisprudence is no exception. In recent years, there has been a tendency to harmonize law in accordance with new challenges and global trends in the development of the information society, which includes the introduction of information and communication technologies into social processes. This causes a change in the system of public relations and the formation of specific branches and sub-branches of law, in particular information or digital law. The Russian Federation, like most modern states, has put forward serious tasks to create a system of legal regulation of artificial intelligence. This issue has become especially urgent in the context of the spread of the COVID-19 pandemic, which triggered the expansion of the introduction of artificial intelligence technologies. The authors in the study raise the question of the most important areas of regulation in the use of artificial intelligence, primarily for sustainable economic development in a pandemic as well as for the activation of innovative technological entrepreneurship. The authors analyzed strategic documents and the legal basis for regulating artificial intelligence, science and technology of the digital economy in Russia. Based on the study of foreign practices in regard to normative legal regulation of the digital economy and artificial intelligence, the features of approaches in Europe and East Asia are revealed. The problem of digital ethics and ethics of artificial intelligence in the context of the COVID-19 pandemic is acknowledged, and the prospects for the development of Russian legislation in the field of artificial intelligence are presented.
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Miao, Zeyi. "Investigation on human rights ethics in artificial intelligence researches with library literature analysis method." Electronic Library 37, no. 5 (October 7, 2019): 914–26. http://dx.doi.org/10.1108/el-04-2019-0089.
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Purpose The purpose of this paper was to identify whether artificial intelligence (AI) products can possess human rights, how to define their rights and obligations and what ethical standards they should follow. In this study, the human rights ethical dilemma encountered in the application and development of AI technology has been focused on and analyzed in detail in the light of the existing research status of AI ethics. Design/methodology/approach In this study, first of all, the development and application of AI technology, as well as the concept and characteristics of human rights ethics, are introduced. Second, the human rights ethics of AI technology are introduced in detail, including the human rights endowment of AI machines, the fault liability of AI machines and the moral orientation of AI machines. Finally, the approaches to human rights ethics are proposed to ensure that AI technology serves human beings. Every link of its research, production and application should be strictly managed and supervised. Findings The results show that the research in this study can provide help for the related problems encountered in AI practice. Intelligent library integrates human rights protection organically so that readers or users can experience more intimate service in this system. It is a kind of library operation mode with more efficient and convenient characteristics, which is based on digital, networked and intelligent information science. It aims at using the greenest way and digital means to realize the reading and research of human rights protection literature in the literature analysis method. Originality/value Intelligent library is the future development mode of new libraries, which can realize broad interconnection and sharing. It is people-oriented and can make intelligent management and service and establish the importance of the principle of human rights protection and the specific idea of the principle. The development of science and technology brings not only convenience to people's social life but also questions to be thought. People should reduce its potential harm, so as to make AI technology continue to benefit humankind.
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Nemitz, Paul. "Constitutional democracy and technology in the age of artificial intelligence." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 376, no. 2133 (October 15, 2018): 20180089. http://dx.doi.org/10.1098/rsta.2018.0089.
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Given the foreseeable pervasiveness of artificial intelligence (AI) in modern societies, it is legitimate and necessary to ask the question how this new technology must be shaped to support the maintenance and strengthening of constitutional democracy. This paper first describes the four core elements of today's digital power concentration, which need to be seen in cumulation and which, seen together, are both a threat to democracy and to functioning markets. It then recalls the experience with the lawless Internet and the relationship between technology and the law as it has developed in the Internet economy and the experience with GDPR before it moves on to the key question for AI in democracy, namely which of the challenges of AI can be safely and with good conscience left to ethics, and which challenges of AI need to be addressed by rules which are enforceable and encompass the legitimacy of democratic process, thus laws. The paper closes with a call for a new culture of incorporating the principles of democracy, rule of law and human rights by design in AI and a three-level technological impact assessment for new technologies like AI as a practical way forward for this purpose. This article is part of a theme issue ‘Governing artificial intelligence: ethical, legal, and technical opportunities and challenges’.
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Aggarwal, Nikita. "Introduction to the Special Issue on Intercultural Digital Ethics." Philosophy & Technology 33, no. 4 (September 19, 2020): 547–50. http://dx.doi.org/10.1007/s13347-020-00428-1.
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Abstract Recent advances in the capability of digital information technologies—particularly due to advances in artificial intelligence (AI)—have invigorated the debate on the ethical issues surrounding their use. However, this debate has often been dominated by ‘Western’ ethical perspectives, values and interests, to the exclusion of broader ethical and socio-cultural perspectives. This imbalance carries the risk that digital technologies produce ethical harms and lack social acceptance, when the ethical norms and values designed into these technologies collide with those of the communities in which they are delivered and deployed. This special issue takes a step towards broadening the approach of digital ethics, by bringing together a range of cultural, social and structural perspectives on the ethical issues relating to digital information technology. Importantly, it refreshes and reignites the field of Intercultural Digital Ethics for the age of AI and ubiquitous computing.
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Lam, Kyle, Fahad M. Iqbal, Sanjay Purkayastha, and James M. Kinross. "Investigating the Ethical and Data Governance Issues of Artificial Intelligence in Surgery: Protocol for a Delphi Study." JMIR Research Protocols 10, no. 2 (February 22, 2021): e26552. http://dx.doi.org/10.2196/26552.
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Background The rapid uptake of digital technology into the operating room has the potential to improve patient outcomes, increase efficiency of the use of operating rooms, and allow surgeons to progress quickly up learning curves. These technologies are, however, dependent on huge amounts of data, and the consequences of their mismanagement are significant. While the field of artificial intelligence ethics is able to provide a broad framework for those designing and implementing these technologies into the operating room, there is a need to determine and address the ethical and data governance challenges of using digital technology in this unique environment. Objective The objectives of this study are to define the term digital surgery and gain expert consensus on the key ethical and data governance issues, barriers, and future research goals of the use of artificial intelligence in surgery. Methods Experts from the fields of surgery, ethics and law, policy, artificial intelligence, and industry will be invited to participate in a 4-round consensus Delphi exercise. In the first round, participants will supply free-text responses across 4 key domains: ethics, data governance, barriers, and future research goals. They will also be asked to provide their understanding of the term digital surgery. In subsequent rounds, statements will be grouped, and participants will be asked to rate the importance of each issue on a 9-point Likert scale ranging from 1 (not at all important) to 9 (critically important). Consensus is defined a priori as a score of 7 to 9 by 70% of respondents and 1 to 3 by less than 30% of respondents. A final online meeting round will be held to discuss inclusion of statements and draft a consensus document. Results Full ethical approval has been obtained for the study by the local research ethics committee at Imperial College, London (20IC6136). We anticipate round 1 to commence in January 2021. Conclusions The results of this study will define the term digital surgery, identify the key issues and barriers, and shape future research in this area. International Registered Report Identifier (IRRID) PRR1-10.2196/26552
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Loureiro, António. "There is a fourth industrial revolution: the digital revolution." Worldwide Hospitality and Tourism Themes 10, no. 6 (December 3, 2018): 740–44. http://dx.doi.org/10.1108/whatt-07-2018-0044.
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Purpose This paper aims to identify potential issues for the travel and tourism industry, regarding technology in the digital era. Design/methodology/approach Travelport has defined five major themes in this area: big data, hybrid cloud, mobile, artificial intelligence and internet of things. Findings Issues such as personal data privacy, choice of solutions that preserve environmental sustainability, impact of the industry’s environmental footprint and growing number of conflict areas around the world mean that ethics comes before business as a benchmark. Originality/value This paper presents the perspective of a global distribution system operator regarding trends and opportunities affecting the travel industry.
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Han, Jeonghye. "An Information Ethics Framework Based on ICT Platforms." Information 13, no. 9 (September 18, 2022): 440. http://dx.doi.org/10.3390/info13090440.
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With continuing developments in artificial intelligence (AI) and robot technology, ethical issues related to digital humans, AI avatars, intelligent process automation, robots, cyborgs, and autonomous vehicles are emerging, and the need for cultural and social sustainability through AI ethics is increasing. Moreover, as the use of video conferencing and metaverse platforms has increased due to COVID-19, ethics concepts and boundaries related to information and communications technology, cyber etiquette, AI ethics, and robot ethics have become more ambiguous. Because the definitions of ethics domains may be confusing due to the various types of computing platforms available, this paper attempts to classify these ethics domains according to three main platforms: computing devices, intermediary platforms, and physical computing devices. This classification provides a conceptual ethics framework that encompasses computer ethics, information ethics, cyber ethics, robot ethics, and AI ethics. Several examples are provided to clarify the boundaries between the various ethics and platforms. The results of this study can be the educational basis for the sustainability of society on ethical issues according to the development of technology.
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Lee, Gihun, and Mihui Kim. "Deepfake Detection Using the Rate of Change between Frames Based on Computer Vision." Sensors 21, no. 21 (November 5, 2021): 7367. http://dx.doi.org/10.3390/s21217367.
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Recently, artificial intelligence has been successfully used in fields, such as computer vision, voice, and big data analysis. However, various problems, such as security, privacy, and ethics, also occur owing to the development of artificial intelligence. One such problem are deepfakes. Deepfake is a compound word for deep learning and fake. It refers to a fake video created using artificial intelligence technology or the production process itself. Deepfakes can be exploited for political abuse, pornography, and fake information. This paper proposes a method to determine integrity by analyzing the computer vision features of digital content. The proposed method extracts the rate of change in the computer vision features of adjacent frames and then checks whether the video is manipulated. The test demonstrated the highest detection rate of 97% compared to the existing method or machine learning method. It also maintained the highest detection rate of 96%, even for the test that manipulates the matrix of the image to avoid the convolutional neural network detection method.
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Ejaz, Hamza, Hari McGrath, Brian LH Wong, Andrew Guise, Tom Vercauteren, and Jonathan Shapey. "Artificial intelligence and medical education: A global mixed-methods study of medical students’ perspectives." DIGITAL HEALTH 8 (January 2022): 205520762210890. http://dx.doi.org/10.1177/20552076221089099.
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Objective Medical students, as clinicians and healthcare leaders of the future, are key stakeholders in the clinical roll-out of artificial intelligence-driven technologies. The authors aim to provide the first report on the state of artificial intelligence in medical education globally by exploring the perspectives of medical students. Methods The authors carried out a mixed-methods study of focus groups and surveys with 128 medical students from 48 countries. The study explored knowledge around artificial intelligence as well as what students wished to learn about artificial intelligence and how they wished to learn this. A combined qualitative and quantitative analysis was used. Results Support for incorporating teaching on artificial intelligence into core curricula was ubiquitous across the globe, but few students had received teaching on artificial intelligence. Students showed knowledge on the applications of artificial intelligence in clinical medicine as well as on artificial intelligence ethics. They were interested in learning about clinical applications, algorithm development, coding and algorithm appraisal. Hackathon-style projects and multidisciplinary education involving computer science students were suggested for incorporation into the curriculum. Conclusions Medical students from all countries should be provided teaching on artificial intelligence as part of their curriculum to develop skills and knowledge around artificial intelligence to ensure a patient-centred digital future in medicine. This teaching should focus on the applications of artificial intelligence in clinical medicine. Students should also be given the opportunity to be involved in algorithm development. Students in low- and middle-income countries require the foundational technology as well as robust teaching on artificial intelligence to ensure that they can drive innovation in their healthcare settings.
Dissertations / Theses on the topic "Ethics in technology (e.g., digital, artificial intelligence)"
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Munyengeterwa, Tariro S. "The Impact of Artificial Intelligence in the Customer Journey: A Case Study of Bosch USA and Defy South Africa." Digital Commons @ East Tennessee State University, 2021. https://dc.etsu.edu/etd/3870.
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Artificial intelligence (AI) continues to gain traction and is increasingly reshaping the media and marketing communications field. While significant research has been conducted on the impact of AI in other fields, there is little empirical evidence on how AI is affecting the customer journey. The present study explored both organizations’ current use of AI tools and how customer perceptions about AI affect AI usage and adoption through the lens of diffusion of innovation theory. The research was conducted using mixed-method qualitative research. In-depth interviews and a case study content analysis were conducted to collect and analyze the data. The results suggest that consumer perceptions about AI impact levels of adoption when AI is recognized, but there appears to be cognitive dissonance regarding what constitutes AI and complicit acceptance of some of its benefits. Companies in different geographical locations have different levels of AI adoption along the diffusion of innovation stages.
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Brezina, Lukáš. "Dehumanizace jako rizikový faktor používání digitálních technologií v kontextu sociální práce." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-396816.
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The thesis deals with the threat of dehumanization when applying digital technologies and robotics into social work. The work focuses on the history and origin of digital technologies within the context of social changes. It explores the basic rules governing elementary functioning and development of digital technologies and robotics. The thesis describes and summarizes basic information about the possibilities and risks of using digital technologies and robotics within social work. Towards the end it also includes opinions of several professional and political authorities who are active in this topic. This thesis aims to trigger the debate over the possible threats connected to dehumanization of social work and the use of digital technologies and robotics, respectively make it more intensive.
Book chapters on the topic "Ethics in technology (e.g., digital, artificial intelligence)"
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Mittelstadt, Brent. "Interpretability and Transparency in Artificial Intelligence." In The Oxford Handbook of Digital Ethics. Oxford University Press, 2022. http://dx.doi.org/10.1093/oxfordhb/9780198857815.013.20.
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Abstract Artificial Intelligence (AI) systems are frequently thought of as opaque, meaning their performance or logic is thought to be inaccessible or incomprehensible to human observers. Models can consist of millions of features connected in a complex web of dependent behaviours. Conveying this internal state and dependencies in a humanly comprehensible way is extremely challenging. Explaining the functionality and behaviour of AI systems in a meaningful and useful way to people designing, operating, regulating, or affected by their outputs is a complex technical, philosophical, and ethical project. Despite this complexity, principles citing ‘transparency’ or ‘interpretability’ are commonly found in ethical and regulatory frameworks addressing technology. This chapter provides an overview of these concepts and methods design to explain how AI works. After reviewing key concepts and terminology, two sets of methods are examined: (1) interpretability methods designed to explain and approximate AI functionality and behaviour; and (2) transparency frameworks meant to help assess and provide information about the development, governance, and potential impact of training datasets, models, and specific applications. These methods are analysed in the context of prior work on explanations in the philosophy of science. The chapter closes by introducing a framework of criteria to evaluate the quality and utility of methods in explainable AI (XAI) and to clarify the open challenges facing the field.
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"Digital Ethics." In The Strategies of Informing Technology in the 21st Century, 526–51. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8036-3.ch021.
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The purpose of this chapter is to discuss strategies that can be applied in the domain of cyberlaw. The chapter begins by distinguishing between ethics, morality, and law. It then focuses on the relation between ethics and digital technologies. The chapter then examines proposals for what should be included in codes of ethics as well as examples of codes of ethics for IT companies. The examples include the British Computer Society, the Association for Computer Machinery, and the Data Processing Management Association. Next, ethical codes for regulating automation, computerization, and artificial intelligence are summarized. The chapter then discusses ethical issues surrounding privacy, anonymity, and personal data, including the EU's right of access by data subjects as well as issues connected with big data. The chapter then focuses on crimes caused by digitization and the protection of intellectual property. The chapter concludes by considering recent laws of ecommerce as well as social and international legal challenges of regulating cyberspace.
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Jain, Ritesh. "Digital Ethics in Technology and Investments." In Applied Ethics in a Digital World, 157–71. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8467-5.ch011.
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This chapter focuses on aspects of digital ethics in technology and investments and covers the background of the growing surface area of the technology and its concerns related to data; it provides an overview of the data-related challenges and their ethical uses by organizations and people. It also covers emerging technology like artificial intelligence and its impact on ethical challenges. It provides an overview of the potential ethical challenges of technology that investors should consider and focuses on the criticality of the framework requirement and its implementation within businesses to make the right decisions. The author lays out the view on ethics and regulations and why companies should commit to ethical practices for their growth.
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MacRae, Don. "Toward Benevolent AGI by Integrating Knowledge Graphs for Classical Economics, Education, and Health." In Advances in Human and Social Aspects of Technology, 163–86. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6772-2.ch010.
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This chapter considers the contributions that may be made to the evolution of an ethical and compassionate form of artificial general intelligence (AGI) by integrating knowledge graphs for classical economics, education, health, and space science. Classical economics offers pathways to the evolution of a form of AGI characterised as moral, ethical, and providing a capacity for building trust-based social capital of societies. Pathways that can be elucidated by applications of machine and deep learning to knowledge graphs of the fields of classical economics, ethics, and social capital. A network platform based on the application of distributed ledger technology is proposed to provide the basis for eliciting insights from interdependences between an ever expanding digital-quantum cloud hosting similarly empowered knowledge graphs for an ever increasing myriad of advancing fields. Knowledge graph sketches for education, health, space science, and other fields germane to building social capital serve to illustrate this proposed process and attendant business opportunities.
Conference papers on the topic "Ethics in technology (e.g., digital, artificial intelligence)"
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Alameldin, Magdi. "Smart Predictive Maintenance Framework SPMF for Gas and Oil Industry." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22497-ms.
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Abstract The O&G industry is facing big challenges which consequently raise the necessity for reforming its traditional business model and integrating digital disruptive technologies such as Digital Twins, Artificial Intelligence and Blockchain. A Digital Twin(DT) is defined as a dynamic intelligent digital replica/model of the physical system/process/service/people which enables just-in-time informed decision making and root-cause analysis using AI. DTs are implanted at different levels such as Equipment/Asset Level Twin, System Level Twin, System of Systems (SoS) Level Twin. This research introduces a novel framework which is based on a Smart Secure Digital Twin (S2DT) to bridge the development gap compared to other leading industries such as manufacturing and automotive. The proposed model relies on Tiny Machine Learning (TinyML) to implement edge intelligence and solve the problems of transfer latency and data overload and consequently achieves low carbon footprint. Edge Intelligence (EI) reduces energy consumption and enhances security and perspective maintenance. The Blockchain Technology is used to solve the privacy, and cybersecurity problems [4]. The Extended Reality (XR) will be used to ensure proper training of operators, and industry 5.0 to boost collaboration between human and machine. At the component level, security is maintained by integrated the locally generated intelligence on a blockchain to insure immutability, and enhance security.
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Al-Jadir, Sadik Jadir. "The Use of 5G Technologies in the Digital Transformation of the Oil/Gas Industry." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207529-ms.
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Abstract Many oil & gas companies embarked on their Digital Transformation (DX) journeys with rapid adoption of emerging digital technologies. Successful digital transformation initiatives are necessary for Oil/Gas Companies to improve efficiencies, streamline their operations and meet pressing challenges for cost reduction, increased efficiency, and improved safety. Oil & Gas fields and processing facilities require robust and reliable telecommunication infrastructure to support the application of much needed digital technologies. The availability of high-speed connectivity has been a challenge for many Oil/Gas companies operating in remote or hazardous locations. The latest Fifth Generation cellular technology (5 G) addresses such essential Oil/Gas requirements as increased speeds/bandwidths, very low network latencies, ultra-reliable communications, and the capacity to handle large number of users. 5G is designed around following technologies: Small (micro) cells requiring less power,Higher frequencies offering bigger data handling capacities,Cloud and Edge Computing for low network latencies and added security. These 5G design features will enable numerous Oil/Gas applications such as Industrial Robots/Drones, Virtual/Augmented Reality, Video Surveillance with Artificial Intelligence (AI) features (Face Recognition, Object Recognition & intelligent Image processing), Remote Asset Management, Industrial IoT communication between Sensors, Gateways and Device Controllers, Pipeline Leak Detection Systems, Telemetry and SCADA. 5G is therefore poised to be a key enabler in Digital Transformation. The UAE has an advanced telecom infrastructure that offers customers high speed fibre optic connectivity. UAE telecom operators have also been quick to deploy 5G in main cities. Etisalat for example is running a 5G pilot on Das Island with ADNOC Offshore and a major Network Supplier to test potential use cases of the technology in the O&G industry. The push for 5G in O&G will benefit from cooperation between the O&G industry, the telecom operators and technology providers. The role of Governments and the Telecom Regulators can further accelerate adoption through allocation of frequency spectrum to enable 5G Private Network model of deployment. The private network model is crucial for the Oil & Gas industry in view of the special requirements, nature and remoteness of oil and gas installations.
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Voitsekhovich, Viacheslav Emerikovich, Ilja Nikolaevich Volnov, and Georgii Gennadyevich Malinetskii. "On the way to a strong AI: Socio-philosophical problems." In 5th International Conference “Futurity designing. Digital reality problems”. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/future-2022-12.
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The authors define the concepts of consciousness, mind, reason, intellect. The most important properties of consciousness: understanding of the self, reflection, freedom, creativity. Mind is the ability to understand the absolute. Reason is the ability to understand the relative. Intellect is the ability of a subject to solve by rational and logical methods a wide class of tasks related to the life of the subject. Types of artificial intelligence (AI): weak, strong, super-strong AI. Problems that arise on the way of turning a weak AI into a strong one: freedom, trust, alienation. The main problem is freedom. It is the actualization of potencies (G. Hegel). There are two types of intellect possible: having freedom (human) and not having it (weak AI based on an algorithm). If a strong AI is reduced to an algorithm, then it will not gain freedom, it will not grow to reason. If a weak AI evolves, mutates, it will become independent, gain freedom and subsequently grow to reason and spiritual life. For the emergence of freedom, an evolving AI must have a different substantial basis and thinking (primarily mathematics). The substance must be mobile and capable of random changes. The basis of randomness is the microcosm. The functioning of AI should be based on the mathematics of mobile concepts and logic based on the generalized law of identity. The second problem of creating a strong AI is the problem of trust. Sometimes weak AI leads to wrong decisions, which leads to dangerous mistakes in economics, politics, and the military field. To avoid risk and trust AI, it is necessary to make the AI's work understandable to humans. The third problem is alienation. Technology (especially AI) becomes more complicated and becomes independent of the person, of the decision makers. It invades culture imperceptibly and replaces the human with the inhuman. A strong AI will become friendly towards a person if it follows the highest spiritual values (truth, goodness, beauty, love ...).
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Aromaa, Susanna, and Päivi Heikkilä. "Design of a human factors questionnaire to evaluate digital solutions developed for industrial work." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001992.
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Industrial work is changing due to the fourth industrial revolution (Kagermann, 2013). The work will become more mediated when new technologies emerge in factories (e.g., robotics, artificial intelligence and augmented reality). During this change, it is important to consider human factors (HF) issues holistically when developing and implementing novel digital solutions. Often, HF methods such as questionnaires are focusing on a certain topic related to the development of the solution (e.g., usability, acceptance). However, in industrial work context, there are many different HF issues that should be considered when designing a human-technology interaction. To address this lack of a quick and holistic questionnaire, a WorkerFeedback questionnaire was developed through a Design and Evaluation Framework (Kaasinen et al., 2018), literature review and expert validation. The questionnaire development was based on the Design and Evaluation Framework, which supports design and evaluation of digital solutions that will be used by future factory workers (Kaasinen et al., 2018). The framework is useful for providing an overview to important user experience related issues and it is a holistic approach to design and evaluation tasks. The literature review was based on the HF topics that are related to the success of implementing new technology on to the factory floor. Several questionnaires were reviewed related to following topics: user experience, usability, user acceptance, usefulness, ergonomics, safety and ethics. Questionnaires were used as a basis to generate a 14-item questionnaire – two questions for each topic. The questionnaire was validated by an expert panel, which included three human factors experts with over 15 years of experience of user studies, mainly in industrial contexts. They were asked to review, for example, the adequacy of the topics and the formulation of the questions.The expert panel agreed that their overall impression of the questionnaire was good. The suggested seven topics were seen to be relevant for the context. Majority of the feedback was related to the formulation of the questions and making them easier to understand. Based on the experts’ feedback, the questions were shaped to their final form. In future, the WorkerFeedback questionnaire will be piloted with the actual digital solution users. The WorkerFeedback questionnaire was developed to smoothen the digital transition in industry and to support human-technology interaction design. The questionnaire can be used by HF experts as well as practitioners who want to get a holistic overview of developed digital solutions or solutions under development for work context.
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Taheri, Ali, and Claudio Aguayo. "Embodied immersive design for experience-based learning and self-illumination." In LINK 2021. Tuwhera Open Access, 2021. http://dx.doi.org/10.24135/link2021.v2i1.72.
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Concept-based teaching and learning grounded on a mechanical paradigm has dominated western education tradition since the first industrial revolution. This type of educational tradition is characterised, among other things, by its reductionist and linear mindset that has led to siloed and disconnected knowledge generation. Yet the 21st Century demands us to rethink the traditional roles of the learner, the teacher and the learning environment. Climate change and wicked socio-ecological problems and challenges require a new ‘tradition’ to emerge, dominate and respond to our societal and planetary crisis. Integrated, multidisciplinary and transversal knowledge generation, dissemination and transfer, grounded on a strong critical ethics and philosophical exploration of new alternative educational paradigms, is paramount if we aim to respond accordingly to calls to create a better future today. Today’s 4th industrial revolution fusing Artificial Intelligence (AI) with the Internet of Things (IoT), genetic engineering, quantum mechanics and philosophy, and more is blurring the boundaries between the physical, digital, and biological worlds. This brings along the emergence of new understandings of the nature of human experience, and questions about how to design for it. In this scenario, education must become multidisciplinary again, where new epistemologies are to be the reflection of humanity’s process of change and transformation, while reconnecting with old and ancient knowledge and ways of doing. In the past, knowledge was considered a ‘unity’ whole acquired through journeys in people’s life, from where individuals learn by doing and experiencing every aspect of knowledge. One positive side-effect of embracing a unity view of knowledge today is that we can now make accessible non-western concepts, again, with emphasis on qualitative, subjective, emotional, embodied, ceremonial and spiritual views of knowledge generation and practice. How can we teach such concepts and views within a traditional and reductionist educational western system based on concept-based and siloed education? We cannot. Some knowledge, concepts and notions (known as ‘Qualia’ in the literature) can only be acquired through bodily lived and direct experiences. Today’s digital immersive technology can make it easier to integrate and consume knowledge through digital visualisation and self-led user experiences. New media can afford to provide learners a good foundation on many different disciplines, which normally would take years to achieve based on traditional pedagogy. Experience-based mediums like virtual reality (VR), if used in a non-concept based way, can bridge the knowledge gap existing created by qualia subjects in western societies. Here we argue that the epistemology coming from the Santiago school of cognition, with notions such as embodiment, embodied cognition and enaction, can inform and guide the development of an experience-based type of immersive learning design based on an enactive, self-led user experience. We propose that immersive learning experience design ought to focus first and foremost on ethics and critical philosophy, followed by embodied design for experience-based self-driven illumination. In this presentation we review the conceptual background leading to some examples of current experienced-based learning and self-illumination design exploration in immersive learning design, informed by the epistemology coming from the Santiago school of cognition.
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Alanazi, Abdullah Mohammed, Naif Radhyan Almutairi, Abdullah Ahmed Aseery, Salah M. S. Al Buraiky, Amani M. Rafie, and Abdullah Abdulrahman Alrumaih. "Private 5G Practice in Oil and Gas Industry." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/210975-ms.
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Abstract The Kingdom of Saudi Arabia has taken active steps to adopt cutting-edge technologies such as artificial intelligence (AI), Cloud, 5G, 3D printing, robotics and unmanned aerial vehicles (UAVs) to drive domestic value creation, improve localization, and maximize long-term economic growth and diversification. This is accelerating the digital transformation across many sectors such as energy, mining and logistics, tourism and culture and education, and advancing their business operation activities. Saudi Aramco, a world leader in hydrocarbons exploration, production, refining, distribution and marketing, and one of the world's largest exporters of crude oil and natural gas liquids, has always been at the forefront of technologies and continuously invested in digital transformation to maintain our competitiveness. We have realized that 5G plays a pivotal role in bringing all emerging technologies such as advanced analytics, intelligent sensing, mobility, and robotics as part of the Industrial Revolution 4.0 synergy. In January 2021, Saudi Aramco, stc, and Huawei signed a MoU (Memorandum of Understanding) to launch a joint innovation program for 5G and explore 5G assisted technologies for specific oil and gas (O&G) industry applications. Private 5G is a promised technology to enable digital transformation at Oil and Gas Facilities due to its unique capabilities. The deployment options for private 5G at enterprise, similar to Saudi Aramco case, could be Leased from Service Provider, Fully Owned by the Enterprise, or Hybrid Model. This report is focusing on the implementation of the third deployment model; Hybrid model, Network-Shared RAN & Control Plane, with the service provider, that was implemented in collaborations with STC and their network provider Huawei at Abqaiq plant. Private 5G deployment at Saudi Aramco has introduced eight (8) use cases related to safety, security, and plant operation. The use cases were selected collectively by several organizations within Saudi Aramco including Industrial Security, loss prevention, and Abqaiq plant Operations. The selected use cases end-user components are novel and had been co-invented and developed jointly with different partners to accelerate the maturity of industrial 5G ecosystem. Based on the pilot results, Saudi Aramco is planning to expand the 5G deployment through Hybrid model capitalizing on Shared Radio Access Network (RAN) to achieve design simplicity, scalability, and optimized cost.