Siegel Research Fellow Breanna Green reflects on her recent projects that pair her background in psychology and skills in computer science to examine online conversations about political violence.
Siegel In-House Research Fellow Owen Davis reflects on his recent working paper "Artificial Intelligence and Worker Power" and how he hopes to broaden conversation around AI and the workplace beyond just task automation.
Read part two of Siegel Emerging Technology Consultant Eryk Salvaggio's three part series on the relationships between images, their archives, and datasets.
As part of his 2024 fellowship with Flickr Foundation, Siegel Emerging Technolocy Consultant Eryk Salvaggio dives into the relationships between images, their archives, and datasets through a creative research lens. This three-part series focuses on the ways archives such as Flickr can shape the outputs of generative AI in ways akin to a haunting.
Siegel Research Fellow Basileal Imana reflects on his recent work, highlighting importance of external auditing for algorithmic bias and exploring the tension between privacy and transparency for social media companies.
The breakneck progress of generative AI seems to be condensing into fresh momentum for comprehensive tech policy. However, to design effective, foward-looking policy, we must start with a shift in discourse around technology and technology policy from values-agnostic to values-driven.
Siegel Research Fellow Amy Winecoff reflects on her recent opinion piece “What Today’s AI Companies Can Learn from the Fall of Enron” and how her body of work has led to this moment.
Siegel Research Fellow Alumnus and Assistant Professor at Cornell University, J. Nathan Matias, reflects on the benefits of involving the public for more comprehensive AI research.
Siegel Family Endowment is happy to introduce the 2023-2024 cohort of researchers, academics, and public policy experts who make up the foundation’s Siegel Research Fellows Program.
