Yvonne Eadon is an assistant professor in the School of Information Science at the University of Kentucky investigating feminized conspiracy theories and the gender dynamics within online communities that form around them, as well as how information institutions interface with and assist researchers with alternative or conspiratorial viewpoints.
Owen Davis is a labor economist and post-doctoral research fellow at Siegel Family Endowment, where he explores the workforce impacts of artificial intelligence and emerging technologies. Read his latest op-ed, featured in Tech Policy Press, about how we need to collect better data about not only how AI is affecting what work we do, but how it is done.
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 Siegel Research Team set themselves the challenge of articulating “10 big questions” that we should be grappling with in order to gain greater understanding of the challenges and opportunities that we all face. The list captures our brainstorming at the end of 2023, and incorporates numerous refinements based on many discussions we’ve had in early 2024.
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.
