Results 171 to 180 of about 5,574 (249)

Strategic litigation as a challenge for deliberative democracy

open access: yesAmerican Journal of Political Science, EarlyView.
Abstract Strategic litigation is a growing public concern, but remains understudied in democratic theory. In strategic litigation, collectives go to court with a political agenda that goes beyond their specific case. How should we assess the legitimacy of strategic litigation? Building on Lafont's model of deliberative democracy and Klein's distinction
Svenja Ahlhaus
wiley   +1 more source

Reviewing fast or slow: A theory of summary reversal in the judicial hierarchy

open access: yesAmerican Journal of Political Science, EarlyView.
Abstract Appellate courts with discretionary dockets have multiple ways to review lower courts. We develop a formal model that evaluates the trade‐offs between “full review”—which features full briefing, oral arguments, and signed opinions—versus “quick review,” where a higher court can summarily reverse a lower court. We show that having the option of
Alexander V. Hirsch   +2 more
wiley   +1 more source

The limits of AI for authoritarian control

open access: yesAmerican Journal of Political Science, EarlyView.
Abstract An emerging literature suggests that artificial intelligence (AI) can greatly enhance autocrats' repressive capabilities. This paper argues that while AI presents a powerful new tool for authoritarian control, its effectiveness is constrained by the very repressive institutions it is designed to serve.
Eddie Yang
wiley   +1 more source

One‐Class Autoencoders for Porcelain Art Attribution: The Case of William Billingsley

open access: yesArchaeometry, EarlyView.
ABSTRACT This comprehensive study explores the application of advanced machine learning techniques, specifically one‐class autoencoders, for the authentication and attribution of English porcelain artworks. Focusing primarily on the works of William Billingsley (1758–1828), one of England's most celebrated porcelain decorators, we demonstrate how ...
Hassan Ugail   +3 more
wiley   +1 more source

Laplacian reconstructive network for guided thermal super-resolution. [PDF]

open access: yesSci Rep
Kasliwal A   +4 more
europepmc   +1 more source

Too good to be true: Synthetic AI faces are more average than real faces and super‐recognizers know it

open access: yesBritish Journal of Psychology, EarlyView.
Abstract The AI revolution has produced synthetic faces that often appear more human than photos of real people. We tested whether individual differences in human face recognition ability explain variation in discriminating AI from real faces. Super‐recognizers – people with exceptional ability to recognize human faces (N = 36) – outperformed a typical
James D. Dunn   +5 more
wiley   +1 more source

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