Researchers must develop a science to study the collective patterns of human–algorithm behavior so that it is possible to regulate adaptive algorithms and ensure they have a safe, beneficial role in society argues Siegel Research Fellow J. Nathan Matias in a Comment piece published in Nature this week.
Siegel Research Fellow Kathryn Zickuhr on how automation and algorithmic decision-making is already affect U.S. workers, from recruitment and hiring to throughout workplace environments.
NGIN set out on a project that entailed desk research, stakeholder engagement interviews with national experts as well as local and regional leaders from digital equity focused organizations, wealth creation organizations, and community-based organizations.
This is part of our “Designed for Scale” series, which explores how we can design and fund programs that are prepared for the challenges of…
As we continue our series on scale, we turn to the challenge of bringing workers like these closer to decisions around innovation.
What happens when scale is the part of the goal, rather than a fortunate result? Achieving impact at scale is a perennial challenge across the…
When we look at AI through its components and relationships, we can identify discrete but overlapping physical, social, and digital infrastructures.
Even with a renewed focus on maintenance and repair, we are often overlooking another possibility for infrastructuring: deconstruction.
Siegel Family Endowment is thrilled to introduce the 2022-2023 cohort of researchers, academics, and public policy experts who make up the foundation’s Siegel Research Fellows Program.
The inaugural cohort of impressive researchers and academics produced publications presented and workshopped their research at monthly research seminars, and even published a book during their time as Siegel Research Fellows.
At Siegel, we recognize that the development and deployment of technology is shaped by public policy.
