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.
The year 2024 was dubbed “the largest election year in global history” with half the world’s population voting in national elections. Earlier this year, we hosted an event on AI and the 2024 Elections where scholars spoke about the potential influence of artificial intelligence on the election cycle– from misinformation to threats on election infrastructure. This webinar offered a reflection and exploration of the impacts of technology on the 2024 election landscape.
Earlier this year, the Allen Lab for Democracy Renovation hosted a convening on the Political Economy of AI. This collection of essays from leading scholars and experts raise critical questions surrounding power, governance, and democracy as they consider how technology can better serve the public interest.
As a part of the Allen Lab’s Political Economy of AI Essay Collection, David Gray Widder and Mar Hicks draw on the history of tech hype cycles to warn against the harmful effects of the current generative AI bubble.
The year 2024 was dubbed “the largest election year in global history” with half the world’s population voting in national elections. Earlier this year, we hosted an event on AI and the 2024 Elections where scholars spoke about the potential influence of artificial intelligence on the election cycle– from misinformation to threats on election infrastructure. This webinar offered a reflection and exploration of the impacts of technology on the 2024 election landscape.
Earlier this year, the Allen Lab for Democracy Renovation hosted a convening on the Political Economy of AI. This collection of essays from leading scholars and experts raise critical questions surrounding power, governance, and democracy as they consider how technology can better serve the public interest.
