To better understand the challenges at stake, you will find here non-exhaustive links of relevant documents or articles. The language is mentioned between brackets: ENG for English content, FRA for French etc.

Views expressed herein belong solely to the authors and do not reflect any official position of the Council of Europe.

• (ENG) R. C. Lawlor, What Computers Can Do: Analysis and Prediction of Judicial Decisions, American Bar Association Journal, vol. 49, No. 4, April 1963, pp. 337-344
• (ENG) J. Angwin, J. Larson, S. Mattu, L. Kirchner, Machine Bias: There’s software used across the country to predict future criminals. And it’s biased against blacks, ProPublica, 23 May 2016
• (FRA) P. Besse, C. Castets-Renard, A. Garivier, Loyauté des décisions algorithmiques, 22 juin 2017
• (ENG) Y. Katz, Manufacturing an Artificial Intelligence Revolution, Harvard University, 27 November 2017
• (ENG) M. Oswald, J. Grace, S. Urwin, G. C. Barnes, Algorithmic risk assessment policing models: lessons from the Durham HART model and Experimental proportionality, Information & Communications Technology Law, Vol. 27, No. 2, 3 April 2018, pp.223-250
• (ENG) A. Mantelero, AI and Big Data: A blueprint for a human rights, social and ethical impact assessment, Computer Law & Security Review, Volume 34, Issue 4, August 2018, pp.754-772
• (ENG) P. Nemitz, Constitutional democracy and technology in the age of artificial intelligence, Royal Society Philosophical Transactions
• (ENG) J. Cowls, L. Floridi, Prolegomena to a White Paper on an Ethical Framework for a Good AI Society, University of Oxford, 19 June 2018
• (FRA) D.Cardon, J-P. Cointet et A. Mazières, La revanche des neurones, Réseaux 2018/5 (n° 211), p. 173-220