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janetyc / literature-human-ai-collaboration

Literature for Human-AI collaboration, Hybrid Intelligence, Human-AI interaction
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Request to add new papers and tutorials on explainable AI (citations included in text) #1

Open charishruthi opened 3 years ago

charishruthi commented 3 years ago

Book chapters:

S. Chari, D. Gruen, O. Seneviratne, D. L. McGuinness, "Foundations of Explainable Knowledge-Enabled Systems". In: Ilaria Tiddi, Freddy Lecue, Pascal Hitzler (eds.), Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges. Studies on the Semantic Web, IOS Press, Amsterdam, 2020, pp 23 - 48

S. Chari, D. Gruen, O. Seneviratne, D. L. McGuinness, "Directions for Explainable Knowledge-Enabled Systems". In: Ilaria Tiddi, Freddy Lecue, Pascal Hitzler (eds.), Knowledge Graphs for eXplainable AI -- Foundations, Applications and Challenges. Studies on the Semantic Web, IOS Press, Amsterdam, 2020, pp 245 - 261

Articles:

Gross, Tom, Kori Inkpen, Brian Y. Lim, and Michael Veale. "The Human (s) in the Loop—Bringing AI and HCI Together." In IFIP Conference on Human-Computer Interaction, pp. 731-734. Springer, Cham, 2019.   Conference Papers:

Wang, Danding, Qian Yang, Ashraf Abdul, and Brian Y. Lim. "Designing theory-driven user-centric explainable AI." In Proceedings of the 2019 CHI conference on human factors in computing systems, pp. 1-15. 2019.

Mittelstadt, Brent, Chris Russell, and Sandra Wachter. "Explaining explanations in AI." In Proceedings of the conference on fairness, accountability, and transparency, pp. 279-288. 2019.

Hoffman, Robert R., Shane T. Mueller, Gary Klein, and Jordan Litman. "Metrics for explainable AI: Challenges and prospects." arXiv preprint arXiv:1812.04608 (2018).

Liao, Q. V., Gruen, D., & Miller, S. (2020, April). Questioning the AI: Informing Design Practices for Explainable AI User Experiences. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-15).

Chari S., Seneviratne O., Gruen D.M., Foreman M.A., Das A.K., McGuinness D.L. (2020) Explanation Ontology: A Model of Explanations for User-Centered AI. In: Pan J.Z. et al. (eds) The Semantic Web – ISWC 2020. ISWC 2020. Lecture Notes in Computer Science, vol 12507. Springer, Cham. https://doi.org/10.1007/978-3-030-62466-8_15

Chari S., Seneviratne O., Gruen D.M., Foreman M.A., Das A.K., McGuinness D.L. (2020) Explanation Ontology In Action: A Clinical Use-Case. In: Taylor K. and Gonçalves R. (eds) Posters and Demo Track,19th International Semantic Web Conference 2020

Workshop Tutorial:

Chakraborty, Prithwish, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel Gruen, Kenney Ng, Daby Sow, and Kush R. Varshney. "Tutorial on Human-Centered Explainability for Healthcare." In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 3547-3548. 2020.  

charishruthi commented 3 years ago

Thank you for maintaining this list of valuable papers and tutorials on human-centered AI. I have added a list of papers some of which we authored in the space of user-centered explainability and some of which are others. It would be great if you can add these to your current list.