Responsible AI

This research area addresses the broader implications of AI systems, with particular focus on multi-stakeholder environments and inter-group fairness. Key work includes developing frameworks for auditing search engines across groups, creating metrics that balance consumer and producer interests in two-sided marketplaces, and studying problematic content in automated systems like email reply suggestions and search completions. The research encompasses both technical solutions for bias mitigation and broader sociotechnical considerations, including autonomous experimentation and the limits of scaling laws in AI systems.