🔬 Research Summary by Virginie Do and Nicolas Usunier Virginie Do is a former PhD student at Meta AI (Facebook AI Research) and PSL University Nicolas Usunier is a research scientist at Meta AI (Facebook AI … [Read more...] about Fair allocation of exposure in recommender systems
Film & TV
Oppenheimer As A Timely Warning to the AI Community
✍️ Original article by Eryn Rigley, a PhD research student at University of Southampton, specializing in the intersection of environmental and AI ethics, as well as defense & security AI ethics. Like many … [Read more...] about Oppenheimer As A Timely Warning to the AI Community
Modeling Content Creator Incentives on Algorithm-Curated Platforms
🔬 Research Summary by Jiri Hron, a PhD student at the University of Cambridge and worked as a student researcher at Google Brain for most of his PhD. [Original paper by Jiri Hron, Karl Krauth, Michael I. Jordan, … [Read more...] about Modeling Content Creator Incentives on Algorithm-Curated Platforms
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways
🔬 Research Summary by Francesco Fabbri, a 4th year Ph.D. student at UPF, Barcelona, working on Algorithmic Bias in Recommender Systems. His work focuses on analyzing and mitigating unintended and potentially harmful … [Read more...] about Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways
Race and AI: the Diversity Dilemma
🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by Stephen Cave and Kanta Dihal] Overview: Are white and non-white AI presented as equals? The authors argue not. While more … [Read more...] about Race and AI: the Diversity Dilemma