4 papers
The Fair Lending Model: How the Longest-Running Algorithmic Fairness Programs Work in Practice
Emily Black, Miranda Bogen, Logan Koepke +3
U.S. financial institutions subject to fair lending laws have been running algorithmic fairness programs for decades. Despite this long history, remarkably little is known about ho…
Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains
Emaan Bilal Khan, Amy Winecoff, Miranda Bogen +1
Foundation models are routinely fine-tuned for use in particular domains, yet safety assessments are typically conducted only on base models, implicitly assuming that safety proper…
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen +34
"Machine unlearning" is a popular proposed solution for mitigating the existence of content in an AI model that is problematic for legal or moral reasons, including privacy, copyri…
Improving governance outcomes through AI documentation: Bridging theory and practice
Amy A. Winecoff, Miranda Bogen
Documentation plays a crucial role in both external accountability and internal governance of AI systems. Although there are many proposals for documenting AI data, models, systems…