When AI is seen as a source of truth and scientific knowledge, it may lend public legitimacy to harmful ideas about identity.
Critics now articulate their worries about the technologies, social practices and mythologies that comprise Artificial Intelligence (AI) in many domains. In this paper, we investigate the intersection of two domains of criticism: identity and scientific knowledge. On one hand, critics of AI in public policy emphasise its potential to discriminate on the basis of identity. On the other hand, critics of AI in scientific realms worry about how it may reorient or disorient research practices and the progression of scientific inquiry. We link the two sets of concerns—around identity and around knowledge—through a series of case studies. In our case studies, about autism and homosexuality, AI figures as part of scientific attempts to find, and fix, forms of identity. Our case studies are instructive: they show that when AI is deployed in scientific research about identity and personality, it can naturalise and reinforce biases. The identity-based and epistemic concerns about AI are not distinct. When AI is seen as a source of truth and scientific knowledge, it may lend public legitimacy to harmful ideas about identity.
Feature
This list of resources, curated by the GETTING-Plurality Research Network at the Allen Lab for Democracy Renovation, highlights emerging ideas at the intersection of technology and democracy.
Feature
On July 4, 2026, America will celebrate the 250th anniversary of the signing of the Declaration of Independence. As this milestone approaches, the team at the Allen Lab for Democracy Renovation has curated a collection of books, podcasts, and events that explore the meaning and impact of the declaration from 1776 to today. Join us in revisiting the document itself, reflecting on its legacy, and considering the ongoing struggle to uphold democratic ideals.
Additional Resource
A new report provides a clear, actionable framework for effective experiential civic learning—what it is, why it matters, and how to do it well.
Feature
This list of resources, curated by the GETTING-Plurality Research Network at the Allen Lab for Democracy Renovation, highlights emerging ideas at the intersection of technology and democracy.
Commentary
In a warning to lawmakers, cybersecurity expert Bruce Schneier testified before the House Committee on Oversight and Government Reform, sharply criticizing the Department of Government Efficiency’s (DOGE) handling of federal data. Describing DOGE’s security protocols as dangerously inadequate, Schneier warned that the agency’s practices have put sensitive government and citizen information at risk of exploitation by foreign adversaries and criminal networks.
Policy Brief
The GETTING-Plurality Research Network submitted a public comment on the Development of a 2025 National Artificial Intelligence Research and Development Strategic Plan.