Tootfinder

Two new NERDS papers: Algorithmic bias, street network simplification
https://nerds.itu.dk/2025/11/03/two-new-nerds-papers-algorithmic-bias-street-network-simplification/

Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
Jiayi Zhang, Simon Yu, Derek Chong, Anthony Sicilia, Michael R. Tomz, Christopher D. Manning, Weiyan Shi
https://arxiv.org/abs/2510.01171

Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
Post-training alignment often reduces LLM diversity, leading to a phenomenon known as mode collapse. Unlike prior work that attributes this effect to algorithmic limitations, we identify a fundamental, pervasive data-level driver: typicality bias in preference data, whereby annotators systematically favor familiar text as a result of well-established findings in cognitive psychology. We formalize this bias theoretically, verify it on preference datasets empirically, and show that it plays a cen…

Anti-Regulatory AI: How "AI Safety" is Leveraged Against Regulatory Oversight
Rui-Jie Yew, Brian Judge
https://arxiv.org/abs/2509.22872 https://a…

Anti-Regulatory AI: How "AI Safety" is Leveraged Against Regulatory Oversight
AI companies increasingly develop and deploy privacy-enhancing technologies, bias-constraining measures, evaluation frameworks, and alignment techniques -- framing them as addressing concerns related to data privacy, algorithmic fairness, and AI safety. This paper examines the ulterior function of these technologies as mechanisms of legal influence. First, we examine how encryption, federated learning, and synthetic data -- presented as enhancing privacy and reducing bias -- can operate as mech…

"A new investigation of Elon #Musk’s X by Sky News found that every account set up by reporters, 'no matter their political orientation, was fed a glut of rightwing content', much of which was extreme. The experts it consulted believe this pattern could have resulted only from an algorithm engineered for this purpose, and that 'an algorithmic bias must be decided by senior people at …

AI Ethics Education in India: A Syllabus-Level Review of Computing Courses
Anshu M Mittal, P D Parthasarathy, Swaroop Joshi
https://arxiv.org/abs/2509.22329 https://

AI Ethics Education in India: A Syllabus-Level Review of Computing Courses
The pervasive integration of artificial intelligence (AI) across domains such as healthcare, governance, finance, and education has intensified scrutiny of its ethical implications, including algorithmic bias, privacy risks, accountability, and societal impact. While ethics has received growing attention in computer science (CS) education more broadly, the specific pedagogical treatment of {AI ethics} remains under-examined. This study addresses that gap through a large-scale analysis of 3,395 …