Seminar: Human-Centered AI: How Can We Support End-Users to Interact with AI?, by Katrien Verbert
Human-Centered AI: How Can We Support End-Users to Interact with AI?
Despite the long history of work on explanations in the Machine Learning, AI and Recommender Systems literature, current efforts face unprecedented difficulties: contemporary models are more complex and less interpretable than ever. As such models are used in many day-to-day applications, justifying their decisions for non-expert users with little or no technical knowledge will only become more crucial. Although several explanation methods have been proposed, little work has been done to evaluate whether the proposed methods indeed enhance human interpretability. Many existing methods also require significant expertise and are static. Several researchers have voiced the need for interaction with explanations as a core requirement to support understanding. In this talk, I will present our work on explanation methods that are tailored to the needs of non-expert users in AI. In addition, I will present the results of several user studies that investigate how such explanations interact with different personal characteristics, such as expertise, need for cognition and visual working memory.
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- Sorbonne Université
- 4 place Jussieu
- Paris, Ile-de-France
- France 75005
- Building: bâtiment Esclangon, 1er étage
- Room Number: Salle de conférences SCAI
- Contact Event Host
- Co-sponsored by Séminaires LFI, LIP6, TRAIL
- Starts 31 March 2023 08:00 AM UTC
- Ends 07 April 2023 12:00 PM UTC
- No Admission Charge
Speakers
Katrien Verbert of KU Leuven
AI, explanability
Biography:
Katrien Verbert is Professor at the Augment research group of the Computer Science Department of KU Leuven. She obtained a doctoral degree in Computer Science in 2008 at KU Leuven, Belgium. She was a postdoctoral researcher of the Research Foundation – Flanders (FWO) at KU Leuven. She was an Assistant Professor at TU Eindhoven, the Netherlands (2013 –2014) and Vrije Universiteit Brussel, Belgium (2014 – 2015). Her research interests include visualisation techniques, recommender systems, explainable AI, and visual analytics. She has been involved in several European and Flemish projects on these topics, including the EU ROLE, STELLAR, STELA, ABLE, LALA, PERSFO, Smart Tags and BigDataGrapes projects. She is also involved in the organisation of several conferences and workshops (general co-chair IUI 2021, program chair LAK 2020, general chair EC-TEL 2017, program chair EC-TEL 2016, workshop chair EDM 2015, program chair LAK 2013 and program co-chair of the EdRecSys, VISLA and XLA workshop series, DC chair IUI 2017, DC chair LAK 2019).
Email:
Address:Department of Computer Science, KU Leuven, Celestijnenlaan 200A - box 2402, Leuven, Belgium, B-3001