A. Abdul, J. Vermeulen, D. Wang, B. Y. Lim, and M. Kankanhalli, Trends and trajectories for explainable, accountable and intelligible systems: An HCI research agenda, Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems -CHI '18, pp.1-18, 2018.

D. Alvarez-melis and T. S. Jaakkola, A causal framework for explaining the predictions of black-box sequence-to-sequence models, 2017.

K. Atkinson, P. Baroni, M. Giacomin, A. Hunter, H. Prakken et al., Towards artificial argumentation, AI Magazine, vol.38, issue.3, pp.25-36, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01643470

F. Bex and D. Walton, Combining explanation and argumentation in dialogue, Argument and Computation, vol.7, issue.1, pp.55-68, 2011.

O. Biran and C. Cotton, Explanation and justification in machine learning: A survey, IJCAI-17 Workshop on Explainable AI (XAI), p.8, 2017.

O. Biran and K. R. Mckeown, Justification narratives for individual classifications, ICML, 2014.

O. Biran and K. R. Mckeown, Human-centric justification of machine learning predictions, IJCAI. p, pp.1461-1467, 2017.

D. Corfield, Varieties of justification in machine learning, Minds and Machines, vol.20, issue.2, pp.291-301, 2010.

G. Irving, P. Christiano, and D. Amodei, AI safety via debate, 2018.

B. Kim, Interactive and interpretable machine learning models for human machine collaboration p, p.143

P. Langley, Explainable, normative, and justified agency, Proceedings of the AAAI Conference on Artificial Intelligence, vol.33, pp.9775-9779, 2019.

T. Laugel, M. J. Lesot, C. Marsala, X. Renard, and M. Detyniecki, The dangers of post-hoc interpretability: Unjustified counterfactual explanations, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02275308

T. Lei, R. Barzilay, and T. Jaakkola, Rationalizing neural predictions, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp.107-117, 2016.

,

P. Madumal, T. Miller, L. Sonenberg, and F. Vetere, A grounded interaction protocol for explainable artificial intelligence, Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. p. 1033-1041. AAMAS '19, International Foundation for Autonomous Agents and Multiagent Systems, 2019.

T. Miller, Explanation in artificial intelligence: Insights from the social sciences, Artificial Intelligence, vol.267, 2017.

T. Miller, P. Howe, and L. Sonenberg, Explainable AI: Beware of inmates running the asylum. In: IJCAI-17 Workshop on Explainable AI (XAI), vol.36, 2017.

B. Mittelstadt, C. Russell, and S. Wachter, Explaining explanations in AI, 2018.