50 citations · 62 across the 10 of their papers we have counts for
3 papers · 1 filter
Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics
Nari Johnson, Deepthi Sudharsan, Hamna +7
Measurement is essential to improving AI performance and mitigating harms for marginalized groups. As generative AI systems are rapidly deployed across geographies and contexts, AI…
Toward Third-Party Assurance of AI Systems: Design Requirements, Prototype, and Early Testing
Rachel M. Kim, Blaine Kuehnert, Alice Lai +3
As Artificial Intelligence (AI) systems proliferate, the need for systematic, transparent, and actionable processes for evaluating them is growing. While many resources exist to su…
A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents
Megan Li, Wendy Bickersteth, Ningjing Tang +4
Due to its general-purpose nature, Generative AI is applied in an ever-growing set of domains and tasks, leading to an expanding set of risks of harm impacting people, communities,…