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Argumentation and logic programming for explainable and ethical AI
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1613-0073
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CEUR workshop proceedings, 2020, Vol. 2742, pp. 55-68
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CALEGARI, Roberta, OMICINI, Andrea, SARTOR, Giovanni, Argumentation and logic programming for explainable and ethical AI, CEUR workshop proceedings, 2020, Vol. 2742, pp. 55-68 - https://hdl.handle.net/1814/76643
Abstract
In this paper we sketch a vision of explainability of intelligent systems as a logic approach suitable to be injected into and exploited by the system actors once integrated with sub-symbolic techniques. In particular, we show how argumentation could be combined with different extensions of logic programming – namely, abduction, inductive logic programming, and probabilistic logic programming – to address the issues of explainable AI as well as some ethical concerns about AI.
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Published online: 15 November 2020
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European Commission, 833647
European Commission, 825619
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Roberta Calegari and Giovanni Sartor have been supported by the H2020 ERC Project “CompuLaw” (G.A. 833647). Andrea Omicini has been partially supported by the H2020 Project “AI4EU” (G.A. 825619).