LTI Colloquium: Responsible AI from RecSys to GenAI
Language Technologies Institute at Carnegie Mellon (LTI at CMU)
Blog
Research, Writing, Talks and News on the intersections of technology and mental health.
What's in an Algorithm? Empowering users through nutrition labels for recommender systems
Knight Institute Symposium on “Optimizing for What? Algorithmic Amplification and Society”
Randomization, Neutrality, and Fairness
Panel at Simons Laufer Mathermatic Sciences Institute
The NIST AI Risk Management Framework
Berkeley AI Law Institute
Model Collapse and Bias in AI
SES Standards and Innovation Forum 2023.
Keynote talk at Evaluating RecSys 2023
EvalRS aims to bring together practitioners from industry and academia to foster a debate on rounded evaluation of recommender systems, with a focus on real-world impact across a multitude of deployment scenarios.
Responsible AI in Practice: Lessons from Experience at Scale
European Center for Algorithmic Transparency / Joint Research Centre
Navigating the Cyber Minefields
Participation in "Navigating the Cyber Minefields" panel at Bioneers 2023 conference with Cindy Cohn and Randima Fernando, moderated by Kellen Klein.
Ethics in AI
Innovit (Italian Innovation and Culture Hub)
Geriatric Data Science: Life after Senior
Normconf 2022
Responsible AI in Practice: Lessons from Experience at scale
IBIS 2022 Keynote Talk
Algorithmic amplification of politics on Twitter
Based on a massive-scale experiment involving millions of Twitter users, this study carries out the most comprehensive audit of an algorithmic recommender system and its effects on political content. Results unveil that the political right enjoys higher amplification compared to the political left.