Emily Saltz is a Research Fellow at Partnership on AI exploring how people understand labels for manipulated media. Prior to joining PAI, Emily was UX Lead for The News Provenance Project at The New York Times R&D Lab researching how contextual information can help audiences understand the authenticity of photojournalism, and presented a documentary VR piece about filter bubbles at the Tech Museum of Innovation in San Jose as a winner of Mozilla’s Reality Redrawn challenge on misinformation. She has a Master’s in Human-Computer Interaction from Carnegie Mellon University, and a B.A. in Linguistics from the University of California, Santa Cruz. She's interested in using research as art and art as research.

Lia Coleman is an artist, AI researcher, and educator based in Seattle. Her interests lie in AI for artwork, creative coding for public art, and online education. Lia is an alumni of the School for Poetic Computation (Fall 2019), and Massachusetts Institute of Technology (BSc Computer Science, 2017). She has exhibited in Vancouver, Seattle, and Boston, and presented her research on AI at the NeurIPS Workshop on Creativity in 2019. 

Claire Leibowicz leads AI and Media Integrity efforts at The Partnership on AI (PAI). Her current work seeks to mitigate the impact of mis/disinformation and effectively communicate media manipulation to the public. Claire holds a BA in Psychology and Computer Science, Phi Beta Kappa and Magna Cum Laude, from Harvard College, and a master’s degree in the Social Science of the Internet from Balliol College, University of Oxford, where she studied as a Clarendon Scholar.