2018

Towards a Grounded Dialog Model for Explainable Artificial Intelligence

Madumal, Prashan, Miller, Tim, Vetere, Frank et al.

Understand

To generate trust with their users, Explainable Artificial Intelligence (XAI) systems need to include an explanation model that can communicate the internal decisions, behaviours and actions to the interacting humans.

Successful explanation involves both cognitive and social processes.
In this paper we focus on the challenge of meaningful interaction between an explainer and an explainee and investigate the structural aspects of an explanation in order to propose a human explanation dialog model.
We follow a bottom-up approach to derive the model by analysing transcripts of 398 different explanation dialog types.

Built on

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Then

Walton, D., Bex, F.: Combining explanation and argumentation in dialogue. Argument and Computation 7
2016
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Chakraborti, T., Sreedharan, S., Zhang, Y., Kambhampati, S.: Plan explanations as model reconciliation: Moving beyond explanation as soliloquy. IJCAI International Joint Conference on Artificial Intelligence pp. 156–163 (2017). https://doi.org/10.24963/ijcai.2017/23
2017
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De Graaf, M.M.A., Malle, B.F.: How People Explain Action (and Autonomous Intelligent Systems Should Too). AAAI 2017 Fall Symposium on “AI-HRI” pp. 19–26 (2017)
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Doshi-Velez, F., Kim, B.: Towards A Rigorous Science of Interpretable Machine Learning (Ml), 1–13 (2017), http://arxiv.org/abs/1702.08608
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Fox, M., Long, D., Magazzeni, D.: Explainable Planning. IJCAI - Workshop on Explainable AI (2017)
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Miller, T.: Explanation in Artificial Intelligence: Insights from the Social Sciences (2017). https://doi.org/arXiv:1706.07269v1, http://arxiv.org/abs/1706.07269
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Miller, T., Howe, P., Sonenberg, L.: Explainable AI: Beware of inmates running the asylum; or: How I learnt to stop worrying and love the social and behavioural sciences. In: IJCAI-17 Workshop on Explainable AI (XAI). p. 36 (2017)
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Winikoff, M.: Debugging agent programs with Why?: Questions. In: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems. pp. 251–259. AAMAS ’17, IFAAMAS (2017)
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