Emily Saltz is a Research Fellow at Partnership on AI for the PAI/First Draft Media Manipulation Research Fellowship. Emily brings her experience in human-centered design and research to the topic of labeling manipulated media. In the fellowship, she will test typologies for manipulated and synthetic media for use by fact-checking communities in order to understand how labeling audio-visual manipulations affects audience perceptions of information credibility on tech platforms.  

Prior to joining PAI, Emily was UX Lead for The News Provenance Project at The New York Times where she researched how contextual information might help audiences better make sense of photojournalism. Before that, she worked as a UX Designer at Bloomberg L.P. In 2018, she 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’s presented work on topics related to language, emerging technologies, and accessibility at conferences CHI PLAY, CSUN, Eyeo, and Processing Community Day. 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 thinks a lot about the human judgments embedded in tech infrastructure, and how to make those judgments more socially just and comprehensible to end-users. 

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