Amalberti, R., & Deblon, F. (1992). Cognitive modelling of fighter aircraft process control: A step towards an intelligent on-board assistance system. International Journal of Man-Machine Studies, 36(5), 639-671.
Andersen, R. H., Solund, T., & Hallam, J. (2014). Definition and Initial Case-Based Evaluation of Hardware-Independent Robot Skills for Industrial Robotic Co-Workers. 41 st International Symposium on Robotics. Munich, Germany, 2014, 1-7.
Arntz, M., Gregory, T., & Zierahn, U (2016). The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis. Documents de travail de l’OCDE sur les questions sociales, l’emploi et les migrations. N° 189. Paris : Éditions OCDE. https://doi.org/10.1787/5jlz9h56dvq7-en.
Bainbridge, L. (1983). Ironies of automation. Automatica, 19, 775-779.
Bellotti, V., & Edwards, K. (2001). Intelligibility and accountability: human considerations in context-aware systems. Hum.-Comput. Interact., 16(2), 193-212.
Benchekroun, T. H., Pavard, B., & Salembier, P. (1994). Design of cooperative systems in complex dynamic environments. In J. M. Hoc, C. Cacciabue & E. Hollnagell (Eds.), Expertise and Technology -Cognition & Human-Computer Cooperation (pp. 167-182). New Jersey : LEA.
Bender, J., De Haan, J., & Bennett, D. (1995). Symbiotic approaches : Content and issues. In J. Bender, J. De Haan, & D. Bennett (Eds.), The symbiosis of work and technology (pp. 1-11). London : Taylor & Francis.
Biran, O., & Cotton, C. (2017). Explanation and Justification in Machine Learning: A Survey. IJCAI-17 Workshop on Explainable Artificial Intelligence (XAI).
Boström, N. (2014) Superintelligence: Paths, Dangers, Strategies. Oxford : Oxford University Press.
Bouri, M., Dieng, R., Kassel, G., & Safar, B. (1989). Vers des systèmes experts plus explicatifs. Actes des 3e journées nationales de PRC-GDR IA., Paris, 5-7 mars 340-355.
Bradshaw, J.-M., Hoffman, R. R., Woods, D. D., & Johnson, M. (2013). The Seven Deadly Myths of “Autonomous Systems”. IEEE Intelligent Systems, 28(3), 54-61.
Brangier, E., Dufresne, A., & Hammes-Adelé, S. (2009). Approche symbiotique de la relation humain-technologie : perspectives pour l’ergonomie informatique. Le Travail Humain, 72(4), 333-353.
Brooks, R.A. (1991). Intelligence without Representation. Artificial Intelligence, 47, 139-159.
Brynjolfsson, E., & McAfee, A. (2012). Race Against the Machines: How the Digital Revolution is Accelerating Innovation, Driving Productivity, and Irreversibly Transforming Employment and the Economy. Digital Frontier Press.
Cacciabue, P. C., Decortis, F. Drozdowicz, B., Masson, M., & Nordvik, J. P. (1992). COSIMO: A cognitive simulation model of human decision making and behavior in accident management of complex plants. IEEE Trans. Systems, Man, and Cybernetics, 22(5), 1058-1074
Carr, N. (2017). Remplacer l’humain : Critique de l’automatisation de la société. Paris : L’Echappée.
Carter, S., & Nielsen, M. (2017). Using Artificial Intelligence to Augment Human Intelligence, Distill.
Castelfranchi, C. (1998). Modeling social action for AI agents. Artificial Intelligence, 10(1-2), 157-182.
Christoffersen, K., & Woods, D.D. (2002). How to make automated system team players. In E. Salas (Ed.), Advances in Human Performance and Cognitive Engineering Research, vol2 (pp. 1-12). Amsterdam : Elsevier.
Clancey, W.J. (1983). The epistemology of a rule-based expert system—a framework for explanation. Artificial Intelligence, 20(3), 215-251.
Clarke, A.A., & Smyth, M.G.G. (1993). A co-operative computer based on the principles of human co-operation. International Journal of Man-Machine Studies, 38(1), 3-22.
Collins, H. (2018). Artifictionnal Intelligence: Against Humanity’s Surrender to Computers. Polity Press.
Crowston, K., & Bolici, F. (2019). Impact of machine learning on work. Proceedings of the 52nd Hawaii International Conference on System Sciences.
Darling, K. (2017). “Who’s Johnny?” Anthropomorphic Framing in Human-Robot Interaction, Integration, and Policy (March 23, 2015). In P. Lin, G. Bekey, K. Abney, & R. Jenkins (Eds.). Robot Ethics 2.0. (22 p.). Oxford : Oxford University Press.
Daugherty, P., & Wilson, J. (2018). Humans + Machine: Reimagining Work in the Age of AI. Harvard Business Review Press.
Davenport, T. H., & Kirby, K. (2016). Au-delà de l’automatisation. Harvard Business Review, Juin-juillet 2016, 45-53.
Dekker, S.W.A., & Woods, D.D. (2002). MABA–MABA or Abracadabra? Progress on human-automation coordination. Cognition, Technology & Work. 4, 240-244.
Dellermann, D., Calma, A., Lipusch, N., Weber, T., Weigel, S., & Ebel, P. (2019). The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems. In Hawaii International Conference on System Sciences (HICSS). Hawaii, USA.
Doshi-Velez, F., & Kim, B. (2017). Towards a rigorous science of interpretable machine learning. CoRR, abs/1702.08608, 2017.
Dreyfus, H. (1972). What computers can’t do. The limits of atificial intelligence. New-York : Harper & Row (traduction française, Flammarion, 1984, « Intelligence artificielle : Mythes et limites »).
Dugdale, J., & Pavard, B. (2000). The Application of a Cognitive Engineering Methodology to Agent-based Simulation in the Social Sciences. In Proceedings of Agent-Based Simulation Workshop. May 2-3, Passau, Germany.
Elprama, S., El Makrini, I., Vanderborght, B., & Jacobs, A. (2016). Acceptance of collaborative robots by factory workers: a pilot study on the role of social cues of anthropomorphic robots. The 25th IEEE International Symposium on Robot and Human Interactive Communication, New York.
Engelbart, C. (1962). Augmenting Human Intellect: A conceptual framework. SRI Summary Report AFOSR-322.
Falzon, P. (1989). Analyser l’activité pour l’assister. Actes du 25e Congrès de la SELF, Lyon, 4-6 octobre.
Ferber, J. (1995). Les systèmes Multi-agents : vers une intelligence collective. InterÉditions.
Fitts, P. M. (Ed.). (1951). Human engineering for an effective air navigation and traffic control system. Washington DC : National Research Council.
Fong, T., Nourbakhsh, I., & Dautenhahn, K. (2003). A survey of socially interactive robots. Robotics and autonomous systems. 42(3-4), 143-166.
Ford, M. (2016). Rise of the Robots. Technology and the Threat of a Jobless Future. New York : Basic Books
French, B., Duenser, A., & Heathcote, A. (2018). Trust in Automation – A Literature Review. CSIRO Report EP184082. CSIRO, Australia.
Frey, C.B., & M.A. Osborne (2013). The Future of Employment: How Susceptible are Jobs to Computerization? Working paper, Oxford : Oxford Martin School, University of Oxford.
Freyssenet, M. (1992). Systèmes experts et division du travail. Technologie, Idéologie, Pratiques, X(2-4), 105-118.
Froomkin, A. M., Kerr, I., & Pineau, J. (2019). When AIs Outperform Doctors: Confronting the Challenges of a Tort-Induced Over-Reliance on Machine Learning. Arizona Law Review, 61, 33.
Gilpin, L. H., Bau, D., Yuan, B. Z., Bajwa, A., Specter, M., & Kagal, L. (2018). Explaining Explanations: An Overview of Interpretability of Machine Learning. DSAA 2018, 80-89
Goertzel, B. (2014). Artificial General Intelligence: Concept, State of the Art, and Future Prospects. Journal of Artificial General Intelligence, 5(1), 1-46.
Goodman, B., & Flaxman, S. (2016). European union regulations on algorithmic decision-making and a “right to explanation”. AI Magazine, 38(3), 50-57.
Griffith, D. (2007). Neo-symbiosis: A conceptual tool for system design. HICSS, Proceedings of 40th Annual Hawaii International Conference on System Sciences (HICSS’07), p. 294 b.
Griffith, D., & Greitzer, F.L. (2007). Neo-Symbiosis: The Next Stage in the Evolution of Human Information Interaction. International Journal of Cognitive Informatics and Natural Intelligence, 1, 39-52.
Gunning, D. (2016). Explainable Artificial Intelligence (XAI). https://www.darpa.mil/program/explainable-artificial-intelligence
Haradji, Y., Guibourdenche, J., Reynaud, Q., Poizat, G., Sabouret, N., Sempé, F., Huraux, T., & Galbat, M. (2018). De la modélisation de l’activité humaine à la modélisation pour la simulation sociale : entre réalisme et fécondité technologique. Activités, 15(1). https://doi.org/10.4000/activites.3106
Hoc, J.-M. (2000). La relation Homme-Machine en situation dynamique. Revue d’Intelligence Artificielle, 14(1-2/2000), 55-71.
Hoc, J.M, (2001). Towards a cognitive approach to human-machine cooperation in dynamic situations. International Journal of Human-Computer Studies, 54, 509-540.
Hoc, J. (2004). Vers une coopération homme-machine en situation dynamique. In P. Falzon (Ed.), Ergonomie, (pp. 269-283). Paris : Presses Universitaires de France.
Hoff, K. A., & Bashir, M. (2015). Trust in Automation: Integrating Empirical Evidence on Factors That Influence Trust. Human Factors, 57(3), 407-434.
Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577-586.
Johnson, M., Bradshaw, J. M., Feltovich, P. J., Hoffman, R. R., Jonker, C., van Riemsdijk, B., & Sierhuis, M. (2011). Beyond Cooperative Robotics: The Central Role of Interdependence in Coactive Design. IEEE: Intelligent Systems, 26(3).
Julia, L. (2019). L’intelligence artificielle n’existe pas. Paris : Éditions First.
Kahneman, D. (2012). Système 1 Système 2 - Les deux vitesses de la pensée. Paris : Flammarion.
Karppi, T., & Granata, Y. (2019). Non-artificial non-intelligence: Amazon’s Alexa and the frictions of AI. AI & Society, 34(4), 867-876.
Karsenty, L., & Brezillon, P. J. (1995). Cooperative problem solving and explanation. Expert Systems With Applications, 8(4), 445-462.
Kass, R., & Finin, T. (1988). The Need for User Models in Generating Expert System Explanation. Int. J. Expert Syst., 1(4), 345-375.
Klein, G., Woods, D. D., Bradshaw, J. M., Hoffman, R. R., & Feltovich, P. J. (2004). Ten Challenges for Making Automation a “Team Player” in Joint Human-Agent Activity. IEEE Intelligent Systems, 19(6), 2004, 91-95.
Kurenkov, A. (2015). A “Brief” History of Neural Nets and Deep Learning. andreykurenkov.com, December 24.
Lavin, A. (2018). Interpreting AI Is More Than Black And White. https://www.forbes.com/sites/alexanderlavin/2019/06/17/beyond-black-box-ai/ (Accès le 07/10/2019).
Lecun, Y. (2019). Quand la machine apprend. La révolution des neurones artificiels et de l’apprentissage profond. Paris : Odile Jacob.
Lee, K. M., Peng, W., Yan, C., & Jin, S. (2006). Can robots manifest personality?: An empirical test of personality recognition, social responses, and social presence in human-robot interaction. Journal of Communication, 56, 754-772.
Lenat, D. B., Guha, R. V., Pittman, K., Pratt, D., & Shepherd, M. (1990). Cyc: toward programs with common sense. Communication ACM 33, 8 (August 1990), 30-49.
Levesque, H. (2013). On Our Best Behaviour, IJCAI-13.
Licklider, J.R. (1960). Man-Computer Symbiosis. IRE Transactions on Human Factors in Electronics, HFE-1, 4-11.
Lipton, Z.C. (2018). The mythos of model interpretability. acmqueue, 16(3).
Lundberg, S., Nair, B., Vavilala, M., Horibe, M., Eisses, M., Adams, T., Liston, D., Low, D., Newman, S., Kim, J., & Lee, S. (2018). Explainable machine-learning predictions for the prevention of hypoxaemia during surgery. Nature Biomedical Engineering, 2, 749-760.
McAfee, A., & Brynjolfsson, E. (2017). Machine Platform Crowd: Harnessing our Digital Future. New York : W.W. Norton and Company.
McCarthy, J., Minsky, M., Rochester, N., & Shannon, C.E. (1955). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence.
McCulloch, W. S., & Pitts, W. (1943). A Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biophysics, 5, 115-133, 1943.
Mercado, J.E., Rupp, M.A., Chen, J.Y., Barnes, M.J., Barber, D., & Procci, K. (2016). Intelligent agent transparency in human–agent teaming for multi-UxV manage-ment. Human Factors, 58(3), 401-415.
Miller, T. (2019). Explanation in artificial intelligence: Insights from the social sciences. Artificial Intelligence, 267(2019), 1-38.
Millot, P., & Lemoine, M.P. (1998). An attempt for generic concepts toward human-machine cooperation. IEEE SMC, San Diego, CA, octobre.
Minsky, M., & Papert, S. (1969). Perceptrons: An Introduction to Computational Geometry. Cambridge MA : The MIT Press.
Monroe, D. (2018). AI, explain yourself. Communication ACM 61, 11(October 2018), 11-13.
Montavon, G., Samek, W., & Müller, K.-R. (2018). Methods for interpreting and understanding deep neural networks. Digital Signal Processing, 73, 1-15.
Moore, J. D., & Swartout, W. R. (1988). Explanation in expert systems: A survey. University of Southern California Marina Del Rey Information Sciences Institute. http://www.dtic.mil/docs/citations/ADA206283
Newell, A., & Simon, H. A. (1976). Computer Science as Empirical Inquiry: Symbols and Search, Communications of the ACM, 19(3), 113-126.
Nilsson, N. J. (2005). Human-Level Artificial Intelligence? Be Serious! AI Magazine, 26(4), 68-75.
Norman, D. (2017). Design, business models, and human-technology teamwork: As automation and artificial intelligence technologies develop, we need to think less about human-machine interfaces and more about human-machine teamwork. Research-Technology Management, 60(1), 26-30.
O’Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. New York, NY, USA : Crown Publishing Group.
Parasuraman, R., Sheridan, Y., & Wickens, C. (2000). A Model for Types and Levels of Human Interaction with Automation. IEEE Trans. Systems, Man and Cybernetics. Part A, 30(3), 286-297.
Park, D. H., Hendricks, L.-A., Akata, Z., Schiele, B. Darrell, T., & Rohrbach, M. (2018). Attentive Explanations: Justifying Decisions and Pointing to the Evidence. Computer Vision and Pattern Recognition (CVPR), 2018.
Peshkin M., & Colgate, J. E. (1999). Cobots. Industrial Robot, 26(5), 335-341.
Rabardel, P. (1995). Les hommes et les technologies ; approche cognitive des instruments contemporains. Paris : Armand Colin.
Rahimi, A., & Recht, B. (2017). Reflections on Random Kitchens Sinks. http://www.argmin.net/2017/12/05/kitchen-sinks/
Ribeiro, M. T., Singh, & S., Guestrin, C. (2016). Why Should I Trust You? Explaining the Predictions of AnyClassifier. arXiv:1602.04938 [cs.LG]. https://doi.org/10.1145/2939672.2939778.
Rosenblatt, R. (1957). The perceptron, a perceiving and recognizing automaton (Project Para). Cornell Aeronautical Laboratory.
Roth, E.M., Bennett, K.B., & Woods, D.D. (1987). Human interaction with an "intelligent" machine. International Journal of Man-Machine Studies, 27, 479-525.
Rudin, C. (2019). Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nature Machine Intelligence, 1, 206-215.
Russell, S. (2019). Human Compatible: Artificial Intelligence and the Problem of Control. Viking.
Salembier, P. (1994). Assistance coopérative aux activités complexes : l’exemple de la régulation du trafic aérien. In B. Pavard (Ed.), Systèmes coopératifs : de la modélisation à la conception (pp. 377-407). Toulouse : Octarès.
Salembier, P., & Zouinar, M. (2004). Intelligibilité mutuelle et contexte partagé. Activités, 1(2). https://doi.org/10.4000/activites.1243
Sarter, N. B., Woods, D. D., & Billings, C. E. (1997). Automation surprises. Handbook of human factors and ergonomics, 2, 1926-1943.
Sauppé, A., & Mutlu, B. (2015). The Social Impact of a Robot Co- Worker in Industrial Settings. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI ’15). ACM, New York, NY, USA. 3613-3622.
Schmidt, K. (2002). Remarks on the complexity of cooperative work. Revue d’Intelligence Artificielle, 16(4-5), 443-483.
Schmorrow, D.D., Stanney, K.M., & Reeves, L.M. (Eds.) (2006). Foundations of augmented cognition (2nd ed.). Arlington, VA : Strategic Analysis.
Searle, J. R. (1980). Minds, Brains and programs, The Behavioral and Brain Sciences, vol. 3, Cambridge University Press.
Seidel, S., Berente, N., Lindberg, A., Nickerson, J. V., & Lyytinen, K. (2019). Autonomous tools and design work: A triple-loop approach to human-machine learning. Communications of the ACM, 62(1), 50-57.
Silverman, B. G. (1992). Human-Computer Collaboration. Human–Computer Interaction, 7(2), 165-196.
Shapiro, S. (1992). Encyclopedia of Artificial Intelligence (2nd Edition). New York : Wiley.
Sheridan, T.B., & Verplank, W. (1978). Human and Computer Control of Undersea Teleoperators. Technical Report. Boston : Man-Machine Systems Lab., Dept. of Mechanical Eng., Massachusetts Institute of Technology.
Suchman, L. (1987). Plans and situated actions: The Problem of Human-Machine Communication. New York : Cambridge University Press.
Suchman, L., & Weber, J. (2015). Human-Machine Autonomies. In N. Bhuta, S. Beck, R. Geiβ, HY Liu, & C. Kreβ (Eds.), Autonomous Weapons Systems: Law, Ethics, Policy (pp. 75-10). Cambridge, UK : Cambridge University Press.
Swartout, W.R., & Moore, J. D. (1993). Explanation in second generation expert systems. Second Generation Expert Systems, 543-585.
Teach, R. L., & Shortliffe, E. H. (1981). An analysis of physician attitudes regarding computer based clinical consultation systems. Computers and Biomedical Research, 14(6), 542-558.
Terssac, G. de (1992) Autonomie dans le travail. Paris : PUF, coll. Sociologie d’Aujourd’hui.
Terveen, L. G. (1995). Overview of human-computer collaboration. Knowledge-Based Systems, 8(2–3), 67-81.
Theureau, J., & Filippi, G. (1994). Cours d’action et conception d’une situation d’aide à la coordination : le cas de la régulation du trafic du RER. Sociologie du Travail, n° XXXVI 4/94, 547-562.
van Melle, V. (1978). The Structure of the MYCIN System. International Journal of Man-Machine Studies, 10(3), 313-322.
Visetti, Y.M. (1991). Des systèmes experts aux systèmes à base de connaissances : à la recherche d’un nouveau schéma régulateur. Intellectica, 12, 221-279.
Weiss, G. (Ed.) (1999). Multiagent systems. A modern approach to distributed artificial intelligence. MIT Press.
Weld, D. S., & Bansal, G. (2019). The Challenge of Crafting Intelligible Intelligence. Communications of the ACM, June 2019, 62(6), 70-79.
Winter, J.C.F. (de), & Dodou, D. (2014). Why the Fitts list has persisted throughout the history of function allocation. Cognition, Technology & Work, 16(1), 1-11.
Wisskirchen, G., Thibault Biacabe, B., Bormann, U., Muntz, A., Niehaus, G., Soler, G. J., & von Brauchitsch, B. (2017). Artificial Intelligence and Robotics and Their Impact on the Workplace. Rapport de l’IBA Global Employment Institute.
Woods, D. D., Roth, E. M., & Bennett, K. (1987). Explorations in joint human-machine cognitive systems. In W. Zachary & S. Robertson (Eds.), Cognition, computing and cooperation. Norwood NJ: Ablex.
Xu, W. (2019). Toward Human-Centered AI: A Perspective from Human-Computer Interaction. Interactions, July-August 2019.
Yosinski, J., Clune J., Nguyen, A., Fuchs, T., & Lipson, H. (2015). Understanding Neural Networks Through Deep Visualization. Deep Learning Workshop, International Conference on Machine Learning (ICML 2015).
Zouinar, M. (2000). Analyse et modélisation des processus de construction et d’actualisation du contexte partagé. Thèse de Doctorat, CNAM, Paris.