Ben Höltgen
@benhoeltgen.bsky.social
Machine Learning in Society | Philosophy of Science | PhD student @ Uni Tübingen | fm.ls/ben
New ACM EAAMO paper out, joint work with @nuriaoliver.com at @ellisalicante.org!
dl.acm.org/doi/10.1145/...
Against common belief (but in line with the emerging multiplicity literature), we show theoretically and empirically that for algorithmic tasks like predicting unemployment...
dl.acm.org/doi/10.1145/...
Against common belief (but in line with the emerging multiplicity literature), we show theoretically and empirically that for algorithmic tasks like predicting unemployment...
Reconsidering Fairness Through Unawareness From the Perspective of Model Multiplicity | Proceedings of the 5th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization
dl.acm.org
October 30, 2025 at 5:42 PM
New ACM EAAMO paper out, joint work with @nuriaoliver.com at @ellisalicante.org!
dl.acm.org/doi/10.1145/...
Against common belief (but in line with the emerging multiplicity literature), we show theoretically and empirically that for algorithmic tasks like predicting unemployment...
dl.acm.org/doi/10.1145/...
Against common belief (but in line with the emerging multiplicity literature), we show theoretically and empirically that for algorithmic tasks like predicting unemployment...
Reposted by Ben Höltgen
Interested in provable guarantees and fundamental limitations of XAI? Join us at the "Theory of Explainable AI" workshop Dec 2 in Copenhagen! @ellis.eu @euripsconf.bsky.social
Speakers: @jessicahullman.bsky.social @doloresromerom.bsky.social @tpimentel.bsky.social
Call for Contributions: Oct 15
Speakers: @jessicahullman.bsky.social @doloresromerom.bsky.social @tpimentel.bsky.social
Call for Contributions: Oct 15
Theory of XAI Workshop
Explainable AI (XAI) is now deployed across a wide range of settings, including high-stakes domains in which misleading explanations can cause real harm. For example, explanations are required by law ...
sites.google.com
October 7, 2025 at 12:53 PM
Interested in provable guarantees and fundamental limitations of XAI? Join us at the "Theory of Explainable AI" workshop Dec 2 in Copenhagen! @ellis.eu @euripsconf.bsky.social
Speakers: @jessicahullman.bsky.social @doloresromerom.bsky.social @tpimentel.bsky.social
Call for Contributions: Oct 15
Speakers: @jessicahullman.bsky.social @doloresromerom.bsky.social @tpimentel.bsky.social
Call for Contributions: Oct 15
Very impressive and comprehensive piece of work on the challenges and opportunities of using data-driven algorithms for decision-making in society. Maybe not surprising given the all-star lineup
This will be a key point of reference for many years to come
arxiv.org/abs/2507.05216
This will be a key point of reference for many years to come
arxiv.org/abs/2507.05216
Bridging Prediction and Intervention Problems in Social Systems
Many automated decision systems (ADS) are designed to solve prediction problems -- where the goal is to learn patterns from a sample of the population and apply them to individuals from the same popul...
arxiv.org
August 5, 2025 at 11:18 AM
Very impressive and comprehensive piece of work on the challenges and opportunities of using data-driven algorithms for decision-making in society. Maybe not surprising given the all-star lineup
This will be a key point of reference for many years to come
arxiv.org/abs/2507.05216
This will be a key point of reference for many years to come
arxiv.org/abs/2507.05216