Elizabeth Seger

Feb 23, 2024 | carnegiecouncil.org | Elizabeth Seger |Arthur Holland Michel |Wendell Wallach |Nikolas K. Gvosdev

Numerous parties are calling for “the democratization of AI.” But the phrase refers to a variety of goals which can sometimes conflict. This post, authored by Elizabeth Seger, describes and compares four different meanings of “AI democratization.” Read the full open access paper here. Over the past year discussion about "AI democratization" has surged.

Feb 23, 2024 | carnegiecouncil.org | Elizabeth Seger

Elizabeth Seger is the director of CASM, Demos’ digital policy research hub. She was previously a research scholar at the Centre for the Governance of AI (GovAI) at the University of Oxford.

Feb 14, 2024 | carnegiecouncil.org | Elizabeth Seger |Joel H. Rosenthal |Nikolas K. Gvosdev |Tatiana Serafin

Today, communities are experiencing the effects of the widespread adoption by law enforcement of data fusion technology: automated software for correlating and fusing surveillance data from a growing web of sources. Though this technology has received scant attention compared to other novel forms of surveillance, its civil liberties implications are grave. This virtual panel discussion explores the impact of data fusion and examines critical ethical questions around its development and use.