Jean-Gabriel Ganascia

How is Artificial Intelligence Changing Science?

Research in the Era of Learning Algorithms

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Prof. Dr. Jean-Gabriel Ganascia

Cooperation Partner

ACASA team, LIP6
Sorbonne University
EURAI (European Association for Artificial Intelligence) Fellow

4, place Jussieu
75005 Paris

Tel: +33 1 44 27 37 27
Fax: +33 1 44 27 70 00


  • 1987: Thèse d’État (habilitation) in Machine Learning, Paris-South University, Orsay, France
  • 1983: PhD in Artificial Intelligence, Paris-South University, Orsay, France
  • 1981: Master in Philosophy, Paris I university (University Panthéon-Sorbonne), Paris, France
  • 1980: Bachelor in Philosophy, Paris I university (University Panthéon-Sorbonne), Paris, France
  • 1980: Master in Artificial Intelligence, Paris VI University (University Pierre et Marie Curie),
    Paris, France

Research Experience

  • Since 1988: Head of the ACASA-LIP6 research group
  • 2016-2021: Chairman of the CNRS Ethics Committee
  • Since 2021: Chairman of the Ethics Committee of French Institute for the Job Search (Pôle Emploi)
  • 2015–2020: Senior Member of the Institut Universitaire de France
  • Since 2019: Chairman of the Steering Committee of the CHEC
    (« Cycle des hautes études de la culture »)
  • 2011-2020: Deputy Director of the OBVIL Laboratory of Excellence

Relevant Publications

  • Ganascia, J.-G. (2008). “In silico” Experiments: Towards a Computerized Epistemology. Newsletter on Philosophy and Computers, 7(2), 11–15.
  • Ganascia, J.-G. (2010). Epistemology of AI Revisited in the Light of the Philosophy of Information. Knowledge, Technology & Policy, 23(1), 57–73.
  • Ganascia, J.-G. (2015a). The Logic of the Big Data Turn in Digital Literary Studies. Frontiers in Digital Humanities, 2, 1–5.
  • Ganascia, J.-G. (2015b). Abstraction of levels of abstraction. Journal of Experimental & Theoretical Artificial Intelligence, 27(1), 23–35.
  • Ganascia, J.-G. (2017). Le Mythe de la Singularité. Faut-il craindre l’intelligence artificielle? Seuil.
  • Ganascia, J.-G., & Powers, T. M. (2020). The Ethics of the Ethics of AI. In M. D. Dubber, F. Pasquale, & S. Das (Eds.), The Oxford Handbook of Ethics of AI. Oxford University Press.