Prof. Nava Tintarev
navatintarev.bsky.social
Prof. Nava Tintarev
@navatintarev.bsky.social
(she/her) Full Professor of Explainable AI, University of Maastricht, NL. Lab director of the lab on trustworthy AI in Media (TAIM). Director of Research at the Department of Advanced Computing Sciences. IPN board member (incoming 2026). navatintarev.com
Bulat Khaertdinov is presenting our recommender systems demo at the Dutch-Belgian Information Retrieval Workshop. (Photo credit: Alain Starke)
October 27, 2025 at 11:24 AM
We answered many interesting Q’s. Incl. legislation of platforms (DSA), possible commercialization of our research vs collab w companies, whether our research could help with polarization, and whether to train LLMs on smaller more representative data!
October 17, 2025 at 6:48 AM
Starting point for the discussion on the Thursday morning at the Dagstuhl workshop on human oversight. Now to be validated and broken with different case studies!
July 3, 2025 at 7:12 AM
Also helpful to revisit lessons from cognitive engineering from Tim and Liz yesterday. On this slide some key scientists for a fun quiz, but also figured in the talk was an excellent reading list. Some concepts were also directly informing our Grey mirror exercise today.
July 1, 2025 at 2:58 PM
TIL that Florence nightingale was also a statistician and innovator of statistical visualization including radial diagrams. Does anyone also have examples of the pool diagram she is claimed to have created on Wikipedia? www.datavis.ca/papers/Night...
March 24, 2025 at 8:03 AM
My favorite conference is in New York this year and I am asking what the most constructive response is to the incursions on intellectual freedom and draconian budget cuts. Needless to say I am keeping a close eye on ACM and @umapconf.bsky.social policies & happy to see this recent post for now.
March 19, 2025 at 7:01 AM
Next up : May Lee on innovation in education from Maastricht science program
January 23, 2025 at 10:07 AM
Looking forward to tomorrow, when I'll be speaking at the next UN student association event on the topic of `Human-centered explainable Artificial Intelligence' ! I hope to inspire the young bright and hopeful minds of the future and I'm curious which questions they'll have.
www.unsamaastricht.org
January 22, 2025 at 4:23 PM
Loan Ho on dialog based explanations.
January 21, 2025 at 4:10 PM
Niki van Stein. Explanations for time series data and semantic continuity.
January 21, 2025 at 3:26 PM
Next up. Cedric on explanations in the context of content moderation online. Cedric recently joined UM and DACS as a postdoc
January 21, 2025 at 3:13 PM
How to pick between all the methods? Consider the co-13 dimensions. I recommend this paper to people to as a reference on a regular basis.
January 21, 2025 at 3:02 PM
High accuracy classifier does not mean you are detecting the right signal. Patients with broken hips were laying in a different angle —> “predictive short cut”
January 21, 2025 at 2:57 PM
Now the full talks starting with Mieke Nauta about practical uses of XAI
January 21, 2025 at 2:42 PM
Lessons learned:
January 21, 2025 at 2:21 PM
Jesse on using llms (RAG) for logic programs.
January 21, 2025 at 2:21 PM
What happens if we see sparsity as an optimization problem while controlling for faithfulness. Summary of results from last years XAI conference.
January 21, 2025 at 2:01 PM
Isel Grau on sparseness optimized feature importance in xai.
January 21, 2025 at 1:48 PM
Sofoklis on counterfactual explanations for time series classification.
January 21, 2025 at 1:33 PM
Roan on explanations for job recommender systems.
January 21, 2025 at 1:21 PM
Next up lightning talks. Starting with Dina from @taimlab.bsky.social On explanations for different stakeholders in the context of advertisement.
January 21, 2025 at 1:17 PM
January 21, 2025 at 12:30 PM
Henry Prakken at the Maastricht XAI meetup on (formal) argumentation and explanations.
January 21, 2025 at 12:04 PM
My X account is deactivated. I am either on bluesky or linkedin.
January 8, 2025 at 9:37 AM

Screenshot of the interactive explanations from Roan's Recsys in HR paper earlier this year:
December 20, 2024 at 10:42 AM