The Ghost Stays in the Picture, Part 2: Data Casts Shadows
Read part two of Siegel Emerging Technology Consultant Eryk Salvaggio’s three part series on the relationships between images, their archives, and datasets.
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.
We sat down with Managing Director of the Robin Hood Learning + Technology Fund Amber Oliver to discuss the organization’s unique model and approach.
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.
We sat down with LearnerStudio’s founder and CEO Kim Smith to learn about why she founded the organization, her vision for the third horizon of education, the infrastructure that is needed to develop a future-ready educational ecosystem, and the crucial role of philanthropy in driving innovation.
Last year Siegel funded a cohort of education media organizations that serve different audiences and aspects of the news media industry. We sat down with representatives from each organization to discuss how AI and its associated impacts are – and could be – shaping the future of information ecosystems.
We sat down with Peter Gault, Executive Director and co-founder at Quill.org, to discuss how his organization is prioritizing the voice of the educator to drive the design and development AI-powered edtech.
We sat down with renowned computer scientist and leader of PiTech at Cornell Tech, Deborah Estrin, to learn more about her approach to building a commitment to responsible tech and public interest technology among students, regardless of whether they enter careers in the public, civil society, or private sectors.
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.