User-Centred Argumentation Analysis of Local Explanations in Explainable AI

Author:

Hung Nguyen Duy,Huynh Van-Nam

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Baehrens, D., Schroeter, T., Harmeling, S., Kawanabe, M., Hansen, K., Müller, K.-R.: How to explain individual classification decisions. J. Mach. Learn. Res. 11(61), 1803–1831 (2010)

2. Barbot, N., Miclet, L., Prade, H.: Analogy between concepts. Artif. Intell. 275, 487–539 (2019)

3. Cyras, K., Rago, A., Albini, E., Baroni, P., Toni, F.: Argumentative XAI: A survey (2021). CoRR, abs/2105.11266

4. Demollin, M., Shaheen, Q.-U.-A., Budzynska, K., Sierra, C.: Argumentation theoretical frameworks for explainable artificial intelligence. In: 2nd Workshop on Interactive Natural Language Technology for XAI (2020)

5. Dung, P.M.: On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games. Artif. Intell. 77(2), 321–357 (1995)

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