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June 12, 2024/Research

The Ghost Stays in the Picture, Part 1: Archives, Datasets, and Infrastructures

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 two-part series focuses on the ways archives such as Flickr can shape the outputs of generative AI in ways akin to a haunting.

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May 28, 2024/From Our Grantees, Research

Q&A with Siegel Research Fellow at Princeton’s Center for Information Technology Policy Basileal Imana

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.

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May 1, 2024/Big Ideas, Research

The 10 Big Questions for 2024 on the impact of technology on society

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. 

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April 23, 2024/Big Ideas, Research

From Values Agnostic to Values Driven

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.

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April 22, 2024/From Our Grantees, Research

Q&A with Siegel Research Fellow at Center for Democracy & Technology Amy Winecoff

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.

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March 12, 2024/From Our Grantees, Research

Q&A with Siegel Research Fellow Alumnus and Assistant Professor at Cornell University J. Nathan Matias

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.

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January 22, 2024/From Our Grantees, Research

Q&A with Siegel Research Fellow and Senior Researcher at the Data & Society Research Institute Ranjit Singh

Siegel Research Fellow, Ranjit Singh, reflects on the possibilities and limits of red-teaming for AI accountability.

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December 13, 2023/From Our Grantees, Research

Q&A with Siegel Research Fellow at All Tech Is Human Sara M. Watson

Siegel Research Fellow, Sara M. Watson, reflects on the importance of building a responsible tech ecosystem

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November 29, 2023/From Our Grantees, Research

Q&A with Siegel Research Fellow and Director of Technology Policy at the Center for American Progress Megan Shahi

Siegel Research Fellow, Megan Shahi, reflects on why she’s urging tech companies to take concrete actions to protect democracy in 2024 and beyond.

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October 31, 2023/Research

Meet Our 2023-2024 Siegel Research Fellows

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.

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October 24, 2023/Research

A Lookback on the 2022-2023 Siegel Research Fellows Cohort

Our second cohort of Siegel Research Fellows earned accolades, presented research, published articles, and built community while reckoning with the transformative effects of generative AI on every facet of society.

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