Academic literature on the topic 'Intelligence artificielle – Société'
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Journal articles on the topic "Intelligence artificielle – Société":
Massie, Jean-Marc. "Intelligence artificielle et société : l'idéologie du système expert." Quaderni 18, no. 1 (1992): 51–60. http://dx.doi.org/10.3406/quad.1992.969.
Deprez, Stanislas. "Intelligence artificielle et transhumanisme : vers une redéfinition de l’humain ?" Recherches de Science Religieuse Tome 111, no. 4 (September 27, 2023): 625–42. http://dx.doi.org/10.3917/rsr.234.0625.
Nsonsissa, Auguste. "Complexité et « machine artificielle » selon Edgar Morin." Sociétés 163, no. 1 (April 15, 2024): 99–123. http://dx.doi.org/10.3917/soc.163.0099.
Linteau, Marc-Antoine. "Humanisation des robots." Psycause : revue scientifique étudiante de l'École de psychologie de l'Université Laval 9, no. 1 (September 23, 2019): 56–63. http://dx.doi.org/10.51656/psycause.v9i1.20139.
Delaune, Agathe, Séverine Valmary-Degano, Nicolas Loménie, Karim Zryouil, Nesrine Benyahia, Olivier Trassard, Virginie Eraville, et al. "Le premier data challenge organisé par la Société Française de Pathologie : une compétition internationale en 2020, un outil de recherche en intelligence artificielle pour l’avenir ?" Annales de Pathologie 42, no. 2 (March 2022): 119–28. http://dx.doi.org/10.1016/j.annpat.2021.10.002.
D’Alessandro, Simone. "The predictable and disabling society: artificial intelligence and changing human agency." Sociétés 163, no. 1 (April 15, 2024): 73–84. http://dx.doi.org/10.3917/soc.163.0073.
Caradébian, Alice. "Le vaisseau alien de Iain M. Banks." Multitudes 94, no. 1 (March 6, 2024): 198–203. http://dx.doi.org/10.3917/mult.094.0198.
Petitpas, Laurent, and Alain Béry. "L’Orthodontie Interceptive expliquée aux patients par les Intelligences Artificielles (IA) conversationnelles." Revue d'Orthopédie Dento-Faciale 58, no. 1 (February 12, 2024): 106–21. http://dx.doi.org/10.1051/odf/2024011.
NAULLY, NICOLAS. "KANT ET LA MORALE DES MACHINES : PROGRAMMER LA « BONTÉ » DANS L’ÈRE DES MODÈLES DE LANGAGE." Management & Data Science, 2023. http://dx.doi.org/10.36863/mds.a.25661.
BACHIMONT, Bruno. "L’IA, le brin d’herbe, la caresse et le regard." Le design de l’« intelligence artificielle » à l’épreuve du vivant 9, no. 1 (June 2, 2020). http://dx.doi.org/10.25965/interfaces-numeriques.4135.
Dissertations / Theses on the topic "Intelligence artificielle – Société":
Ali, Chérif Arab. "Réalisation, programmation et modélisation d'une société de robots." Paris 8, 1995. http://www.theses.fr/1995PA082139.
Adnane, Sabine. "Vivant et artificiel : comment innover pour faire face à la recréation de la condition humaine par les nouvelles technologies : comment l'artiste sollicite ce nouvel objet d'art qu'est la vie ?" Thesis, Paris 1, 2018. http://www.theses.fr/2018PA01H325.
If technology compensates for a lack of being, what is man's responsibility within the evolution of his condition? The intertwining of human capabilities with machines transgresses traditional boundaries, and brings to light many ethical questions. Artificial intelligence and biotechnological transformation completely redefine the ontology of life. What role does the artist play in the recreation of the human condition? What is the status of autonomous living beings turned into works of art? Is Art ready to engage in broader social, cultural, and biopolitical issues, not only with the creation of new objects, but also with new subjects such as living matter? We will see how artists are seizing new technologies to question them, in order to explore all the phenomenological and physiological realities to which they give them access. The perfectibility of the body as a technical or microbiological embodiment is envisaged. The body is exposed, at the risk of losing its status as a protected species. For the practical part of this thesis, we will use a device to give voice to living organisms and show their ability to manifest intentionality. We will thus expose the concept of a natural intelligence beyond the limited vision of current objective science. The prospect of the end of human exceptionality in its arrogance and predation is considered
Allouche, Mohamad Khaled. "Une société d'agents temporels pour la supervision de systèmes industriels." Phd thesis, Ecole Nationale Supérieure des Mines de Saint-Etienne, 1998. http://tel.archives-ouvertes.fr/tel-00822431.
Motawej, Fadi. "Approche par invariance positive et les techniques de l'intelligence artificielle pour la régulation des carrefours signalisés." Phd thesis, Université de Technologie de Belfort-Montbeliard, 2012. http://tel.archives-ouvertes.fr/tel-00720655.
Piquemal-Baluard, Christine. "L'explication collective dans une société d'agents : conception d'un agent explicatif pour l'environnement SYNERGIC." Toulouse 3, 1994. http://www.theses.fr/1994TOU30064.
Le, Ludec Clément. "Des humains derrière l'intelligence artificielle. La sous-traitance du travail de la donnée entre la France et Madagascar." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAT001.
The unrestrained development of artificial intelligence is giving rise to growing fears about its impact on work and society. In the context of concerns about the end of work, we expand the research perspectives opened up by the literature to show that, behind the recent explosion of commercial AI projects in Northern countries, we find a growing number of data workers located in the Global South. Our work thus focuses on one of the most concrete realities of AI: its role in the international division of labour. We specifically look at AI models developed in a commercial context, asking how they are developed and what their consequences are for work.Our research is grounded in original data from questionnaire and interview with all actors in the French AI production chain: in France, we interviewed model developers and users of AI systems; and in Madagascar, we interviewed data workers and managers of subcontracting firms specialising in this activity. Our thesis is then based on four levels of analysis.A study of the work organisation of AI from the perspective of subcontracting mechanisms in the field of AI. We show that, although they operate remotely, workers are strongly integrated into the production process, which is explained through the need of monitoring data quality and therefore the performance of AI models. An analysis of the consequences of AI on work by analysing outsourced activities that are essential for its development.This part allows us to show that these are qualified jobs belonging to a sector that offers many 'complementary' activities that complement the functioning of AI models.We also show that this industry operates in a post-colonial context that gives rise to a 'data extractivism' that gives rise to a 'data extractivism' that is synonymous with AI models' development. We also show that this industry operates in a post-colonial context, giving rise to a 'data extractivism' that is synonymous with the establishment of a veritable 'chain of global precarity'. Finally, we contribute to the sociology of AI by analysing what the work of AI explains about the functioning of artificial intelligence, especially in terms of 'bias"
Cambe, Jordan. "Understanding the complex dynamics of social systems with diverse formal tools." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEN043/document.
For the past two decades, electronic devices have revolutionized the traceability of social phenomena. Social dynamics now leave numerical footprints, which can be analyzed to better understand collective behaviors. The development of large online social networks (like Facebook, Twitter and more generally mobile communications) and connected physical structures (like transportation networks and geolocalised social platforms) resulted in the emergence of large longitudinal datasets. These new datasets bring the opportunity to develop new methods to analyze temporal dynamics in and of these systems. Nowadays, the plurality of data available requires to adapt and combine a plurality of existing methods in order to enlarge the global vision that one has on such complex systems. The purpose of this thesis is to explore the dynamics of social systems using three sets of tools: network science, statistical physics modeling and machine learning. This thesis starts by giving general definitions and some historical context on the methods mentioned above. After that, we show the complex dynamics induced by introducing an infinitesimal quantity of new agents to a Schelling-like model and discuss the limitations of statistical model simulation. The third chapter shows the added value of using longitudinal data. We study the behavior evolution of bike sharing system users and analyze the results of an unsupervised machine learning model aiming to classify users based on their profiles. The fourth chapter explores the differences between global and local methods for temporal community detection using scientometric networks. The last chapter merges complex network analysis and supervised machine learning in order to describe and predict the impact of new businesses on already established ones. We explore the temporal evolution of this impact and show the benefit of combining networks topology measures with machine learning algorithms
Silfversten, William. "Forskning och utveckling av sjukvårdsrelaterad artificiell intelligens mot bakgrund av dataskyddsförordningen." Thesis, Uppsala universitet, Juridiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-351551.
Patrix, Jérémy. "Détection de comportements à travers des modèles multi-agents collaboratifs, appliquée à l'évaluation de la situation, notamment en environnement asymétrique avec des données imprécises et incertaines." Phd thesis, Université de Caen, 2013. http://tel.archives-ouvertes.fr/tel-00991091.
Suro, François. "Epigenetic learning of autonomous behaviours in a society of agents." Thesis, Montpellier, 2020. http://www.theses.fr/2020MONTS049.
Humans and robots are autonomous agents acting within the constraints of the physical world. However, the intelligence and autonomy of humans is far superior to that of machines. Inspired by psychology and neurosciences, developmental robotics aims to give artificial agents the ability to adapt, learn and develop autonomously, in order to reach or even exceed the capabilities of humans. Many research fields are involved in the improvement of sensorimotor skill training, memory systems, emergent representations of symbols and languages, motivational systems, and the development of many learning strategies ranging from exploration to imitation and social learning.However, most of these research projects are focused on a very specific and limited task. Few of them aim to bring together all aspects of embodied intelligence, from the initial development of behaviours to the interactions with other intelligent agents. There is therefore a real need to study which underlying structures can unify this heterogeneity of goals and methods in a perpetually evolving system.Our goal is to provide such a structure, capable of learning sensorimotor skills as well as more complex skills that go beyond simple reactive behaviour. The main contribution of this thesis is a hierarchical architecture using modular properties to achieve cumulative skill learning, namely MIND. In MIND, sensory information and coordination commands between skills are both treated as signals, using a connectionist inspired approach.Starting from preliminary work on social specialization in multi-agent systems, we conduct a series of experiments using a MIND hierarchy to accumulate behaviours, from simple sensorimotor behaviours to social behaviours. We first build complex behaviours based on simple reactive behaviours, then integrate simple memory systems with complex behaviours, and finally use these memory systems to learn social behaviours that replicate our initial model of social specialization.We show that such an architecture is capable of managing the heterogeneity of the behaviours to be learned and the systems to be coordinated. The use of a connectionist approach, a signal-based system, as the underlying architecture made learning both motor control and decision behaviour possible, and also lead to the emergence of memory representations.Beyond the benefits of MIND as a support for designing developmental agents, our work shows the feasibility of continuous development and the advantages of embodiment in grounding the emergent behaviour, which supports developmental robotics as an approach to general purpose AI
Books on the topic "Intelligence artificielle – Société":
Yu, Ŭn-suk. 4-ch'a sanŏp hyŏngmyŏng why?: Industry 4.0. 8th ed. Sŏul T'ŭkpyŏlsi: Han'guk Kyŏngje Sinmun i, 2018.
S, Gill Karamjit, ed. Artificial intelligence for society. Chichester [West Sussex]: Wiley, 1986.
S, Gill Karamjit, ed. Artificial intelligence for society. Chichester: Wiley, 1986.
International Joint Conference on Artificial Intelligence (12th 1991 Sydney, Australia). IJCAI-91: Proceedings of the Twelfth International Conference on Artificial Intelligence, Darling Harbour, Sydney, Australia, 24-30 August 1991 ; sponsored by the International Joint Conferences on Artificial Intelligence, Inc. (IJCAII) ; co-sponsored and hosted by the National Committee on Artificial Intelligence and Expert Systems (NCAIES of the Australian Computer Society (ACS) ; with support and cooperation from the Australian Government and other Australian corporations and institutions. [S.l.]: IJCAII, 1991.
Minsky, Marvin Lee. La societe de l'esprit. Paris: InterÉditions, 1988.
OECD. intelligence Artificielle Dans la Société. Organization for Economic Cooperation & Development, 2019.
Societe, Photo, Pierre Fraser, and Georges Vignaux. Intelligence Artificielle et Transformation de la Société. Independently Published, 2019.
Baricco, Alessandro, and Clarissa Botsford. Game: A Digital Turning Point. McSweeney's Publishing, 2020.
Bostrom, Nick. Superintelligenz: Szenarien einer kommenden Revolution. Suhrkamp Verlag AG, 2016.
Bostrom, Nick. Superintelligence: Paths, Dangers, Strategies. Oxford University Press, Incorporated, 2014.
Book chapters on the topic "Intelligence artificielle – Société":
BAILLARGEAT, Dominique. "Intelligence Artificielle et villes intelligentes." In Algorithmes et Société, 37–46. Editions des archives contemporaines, 2021. http://dx.doi.org/10.17184/eac.4544.
Neyrat, Frédéric. "L’imagination artificielle." In Intelligence artificielle et société, 233–58. Presses de l'Université du Québec, 2024. http://dx.doi.org/10.2307/jj.12348157.14.
Richert, Fabien. "Les nudges et l’intelligence artificielle." In Intelligence artificielle et société, 67–88. Presses de l'Université du Québec, 2024. http://dx.doi.org/10.2307/jj.12348157.7.
Ménard, Marc, and André Mondoux. "INTRODUCTION." In Intelligence artificielle et société, 1–20. Presses de l'Université du Québec, 2024. http://dx.doi.org/10.2307/jj.12348157.5.
Rouvroy, Antoinette. "Le nouvel esprit du capitalisme numérique." In Intelligence artificielle et société, 23–66. Presses de l'Université du Québec, 2024. http://dx.doi.org/10.2307/jj.12348157.6.
Leduc, Claude. "La création artistique à l’ère de l’intelligence artificielle." In Intelligence artificielle et société, 135–54. Presses de l'Université du Québec, 2024. http://dx.doi.org/10.2307/jj.12348157.10.
"NOTICES BIOGRAPHIQUES." In Intelligence artificielle et société, 287–90. Presses de l'Université du Québec, 2024. http://dx.doi.org/10.2307/jj.12348157.16.
Jacob, Laurent. "Penser la police prédictive." In Intelligence artificielle et société, 211–30. Presses de l'Université du Québec, 2024. http://dx.doi.org/10.2307/jj.12348157.13.
"LISTE DES SIGLES ET ACRONYMES." In Intelligence artificielle et société, XVII—XVIII. Presses de l'Université du Québec, 2024. http://dx.doi.org/10.2307/jj.12348157.4.
Boivin, Jacob. "De la grande accélération à l’automatisation de l’anthropocène." In Intelligence artificielle et société, 259–86. Presses de l'Université du Québec, 2024. http://dx.doi.org/10.2307/jj.12348157.15.
Reports on the topic "Intelligence artificielle – Société":
Rousseau, Henri-Paul. Gutenberg, L’université et le défi numérique. CIRANO, December 2022. http://dx.doi.org/10.54932/wodt6646.