7 papers
Co-designing for Compliance: Multi-party Computation Protocols for Post-Market Fairness Monitoring in Algorithmic Hiring
Changyang He, Nina Baranowska, Josu Andoni Eguiluz Castaneira +5
Post-market fairness monitoring is now mandated to ensure fairness and accountability for high-risk employment AI systems under emerging regulations such as the EU AI Act. However,…
From Clicks to Consensus: Collective Consent Assemblies for Data Governance
Lin Kyi, Paul Gölz, Robin Berjon +1
Obtaining meaningful and informed consent from users is essential for ensuring autonomy and control over one's data. Notice and consent, the standard for collecting consent, has be…
Turning to Online Forums for Legal Information: A Case Study of GDPR's Legitimate Interests
Lin Kyi, Cristiana Santos, Sushil Ammanaghatta Shivakumar +2
Practitioners building online services and tools often turn to online forums such as Reddit, Law Stack Exchange, and Stack Overflow for legal guidance to ensure compliance with the…
What's in a Query: Polarity-Aware Distribution-Based Fair Ranking
Aparna Balagopalan, Kai Wang, Olawale Salaudeen +2
Machine learning-driven rankings, where individuals (or items) are ranked in response to a query, mediate search exposure or attention in a variety of safety-critical settings. Thu…
Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond
Lin Kyi, Amruta Mahuli, M. Six Silberman +3
Since the emergence of generative AI, creative workers have spoken up about the career-based harms they have experienced arising from this new technology. A common theme in these a…
The trade-off between data minimization and fairness in collaborative filtering
Nasim Sonboli, Sipei Li, Mehdi Elahi +1
General Data Protection Regulations (GDPR) aim to safeguard individuals' personal information from harm. While full compliance is mandatory in the European Union and the California…