Event Description
Artificial intelligence (AI) promises to automate and scale solutions to perennial accessibility challenges (e.g., generating image descriptions for blind users). However, research shows that AI-bias disproportionately impacts people already marginalized based on their race, gender, or disabilities, raising questions about potential impacts in addition to AI’s promise. In this talk, Cynthia Bennett will overview broad concerns at the intersection of AI, disability, and accessibility. She will then share details about one project in this research space that led to guidance on human and AI-generated image descriptions that account for subjective and potentially sensitive descriptors around race, gender, and disability of people in images.
Event Speaker
Cynthia Bennett, Senior Research Scientist in Google
Event Information
Free and open to the public. For more information, please visit the event webpage or email David Lamb at [email protected]. All in-person attendees must follow Columbia's COVID-19 policies.
Hosted by the Precision Medicine: Ethics, Politics, and Culture Project at Columbia University.
