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. ,
A causal framework for explaining the predictions of black-box sequence-to-sequence models, 2017. ,
Towards artificial argumentation, AI Magazine, vol.38, issue.3, pp.25-36, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01643470
Combining explanation and argumentation in dialogue, Argument and Computation, vol.7, issue.1, pp.55-68, 2011. ,
Explanation and justification in machine learning: A survey, IJCAI-17 Workshop on Explainable AI (XAI), p.8, 2017. ,
Justification narratives for individual classifications, ICML, 2014. ,
Human-centric justification of machine learning predictions, IJCAI. p, pp.1461-1467, 2017. ,
Varieties of justification in machine learning, Minds and Machines, vol.20, issue.2, pp.291-301, 2010. ,
, AI safety via debate, 2018.
Interactive and interpretable machine learning models for human machine collaboration p, p.143 ,
Explainable, normative, and justified agency, Proceedings of the AAAI Conference on Artificial Intelligence, vol.33, pp.9775-9779, 2019. ,
, The dangers of post-hoc interpretability: Unjustified counterfactual explanations, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02275308
Rationalizing neural predictions, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp.107-117, 2016. ,
,
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. ,
Explanation in artificial intelligence: Insights from the social sciences, Artificial Intelligence, vol.267, 2017. ,
, Explainable AI: Beware of inmates running the asylum. In: IJCAI-17 Workshop on Explainable AI (XAI), vol.36, 2017.
Explaining explanations in AI, 2018. ,