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.
So far, artist concerns over Generative AI has been tackled as a copyright issue, but Siegel's Research Advisor for Emerging Technology, Eryk Salvaggio, suggests it is an opportunity to ask bigger questions about data rights.
From shaping our big picture questions to unpacking the latest research studies and reports to keeping a pulse on the latest field-wide conversations, our research team drives and informs our work. We’ve further expanded our research function by adding three new team members. Meet them
As an organization committed to an inquiry-based approach, research is central to any foray into art and creativity. We define “creative research” simply as research with creative outputs. Creative research challenges and resists the dominance of traditional knowledge by widening the aperture of “research” to include different perspectives, ideas, and ways of knowing.
Siegel Research Fellow Jakob Mökander, Visiting Scholar at the Princeton Center for Information Technology Policy, published a paper alongside collaborators at the University of Oxford which seeks to expand the methodological toolkit available to tech providers and policymakers who wish to analyse and evaluate LLMs from technical, ethical, and legal perspectives.
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.
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.