Personal profile
Research interests
I am a Full Professor in Explainable AI at Maastricht University in the Department of Advanced Computing Sciences (DACS) where I am the Director of Research. My research is funded by projects in the field of human-computer interaction in artificial advice-giving systems, such as recommender systems; specifically developing the state-of-the-art for automatically generated explanations (transparency) and explanation interfaces (recourse and control). I have recently been a co-author on papers receiving best paper awards at CHI, CHIIR, Hypertext, UMAP, and HCOMP. I was a founding Co-Investigator in the ROBUST consortium to carry out long term (10-years, ~87M, NWO+EZK+private funding) research into trustworthy artificial intelligence. I am currently a co-lab director of the ICAI TAIM lab, working on trustworthy media, in collaboration with UvA and RTL. Previous funders include the European Commission, IBM, and Twitter. Senior ACM member since 2020, board member ICT-Research Platform Netherlands (IPN), incoming 2026, and on the NWO-ENW domain advisory committee Computer Science, the Informaticatafel.
Keywords
- QA75 Electronic computers. Computer science
- Recommender Systems
- Natural Language Processing
- Intelligent User Interfaces
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Collaborations and top research areas from the last five years
Research output
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Critical reflections on user studies’ evaluation methods for group recommender systems
Barile, F., Hurlin, P., Waterschoot, C. & Tintarev, N., Feb 2026, In: International Journal of Human-Computer Studies. 209, 103742.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Patient-Centred Explainability in IVF Outcome Prediction
Sivaprasad, A., Reiter, E., McLernon, D., Tintarev, N., Bhattacharya, S. & Oren, N., 2026, Artificial Intelligence in Healthcare - 2nd International Conference, AIiH 2025, Proceedings. Cafolla, D., Rittman, T. & Ni, H. (eds.). Springer, p. 87-99 13 p. (Lecture Notes in Computer Science, Vol. 16039).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
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Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations
Waterschoot, C., Tintarev, N. & Barile, F., 7 Aug 2025, Proceedings of the Nineteenth ACM Conference on Recommender Systems. New York, NY, USA: Association for Computing Machinery, p. 539–544 6 p. (RecSys : Proceedings of the ACM Conference on Recommender Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
Open Access -
De-centering the (Traditional) user: Multistakeholder evaluation of recommender systems
Burke, R., Adomavicius, G., Bogers, T., Di Noia, T., Kowald, D., Neidhardt, J., Ozgoebek, O., Pera, M. S., Tintarev, N. & Ziegler, J., Sept 2025, In: International Journal of Human-Computer Studies. 203, 18 p., 103560.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
Measuring Explanation Quality - A Path Forward
Tintarev, N., 21 Oct 2025, ECAI 2025 - 28th European Conference on Artificial Intelligence, including 14th Conference on Prestigious Applications of Intelligent Systems, PAIS 2025 - Proceedings. Lynce, I., Murano, N., Vallati, M., Villata, S., Chesani, F., Milano, M., Omicini, A. & Dastani, M. (eds.). IOS Press, Vol. 413. p. 22-29 8 p. (Frontiers in Artificial Intelligence and Applications, Vol. 413).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
Open Access
Prizes
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Best paper award for the paper "Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics"
Draws, T. (Recipient), Inel, O. (Recipient), Tintarev, N. (Recipient), Baden, C. (Recipient) & Timmermans, B. (Recipient), 2022
Prize: Prize (including medals and awards) › Academic
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The best paper award for the paper "A checklist to combat cognitive biases in crowdsourcing"
Draws, T. (Recipient), Rieger, A. (Recipient), Inel, O. (Recipient), Gadiraju, U. (Recipient) & Tintarev, N. (Recipient), 2021
Prize: Prize (including medals and awards) › Academic
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The best paper award for the paper "This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias"
Rieger, A. (Recipient), Draws, T. (Recipient), Theune, M. (Recipient) & Tintarev, N. (Recipient), 2021
Prize: Prize (including medals and awards) › Academic
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Mekelprize For responsible innovation
Tintarev, N. (Recipient), 2019
Prize: Prize (including medals and awards) › Academic
Activities
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NWO : Nederlandse Organisatie voor Wetenschappelijk Onderzoek (External organisation)
Tintarev, N. (Member)
2024Activity: Membership (due to research expertise) › Membership of committee › Academic
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NWO ENW Informaticatafel (External organisation)
Tintarev, N. (Member)
2023 → 2026Activity: Membership (due to research expertise) › Membership of board › Academic
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NWO : Nederlandse Organisatie voor Wetenschappelijk Onderzoek (External organisation)
Tintarev, N. (Member)
2023Activity: Membership (due to research expertise) › Membership of committee › Academic
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Gesellschaft für Informatik (GI, German Computer Science Society) (External organisation)
Tintarev, N. (Member)
2023 → …Activity: Membership (due to research expertise) › Membership of committee › Academic
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Universiteiten van Nederland (External organisation)
Tintarev, N. (Member)
6 Nov 2023Activity: Membership (due to research expertise) › Membership of committee › Academic
Press/Media
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Meer uitleg nodig over wat algoritmes ons voorschotelen
16/02/23
1 Media contribution
Press/Media: Research › Popular
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Artificial Intelligence programme ROBUST receives additional €25 million in funding from NWO
10/01/23
1 Media contribution
Press/Media: Research › Popular
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University of Amsterdam: UvA-led consortium wins NWO support for long-term programme on trustworthy AI
21/09/21
1 item of Media coverage
Press/Media: Public Engagement › Popular
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UvA-consortium krijgt NWO-steun voor meerjarenprogramma over betrouwbare AI
20/09/21
1 item of Media coverage
Press/Media: Public Engagement › Popular
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UvA-led consortium wins NWO support for long-term programme on trustworthy AI
20/09/21
2 items of Media coverage
Press/Media: Public Engagement › Popular