Sergey Trofimov

With the rapid development of artificial intelligence (AI), understanding its capabilities and limitations has become significant for mitigating unfounded anxiety and unwarranted optimism. As part of this endeavor, this study delves into the following question: Can AI become an expert? More precisely, should society confer the authority of experts on AI even if its decision-making process is highly opaque? Throughout the investigation, I aim to identify certain normative challenges in elevating current AI to a level comparable to that of human experts. First, I will narrow the scope by proposing the definition of an expert. Along the way, three normative components of experts -trust, explainability, and responsibility-will be presented. Subsequently, I will suggest why AI cannot become a trustee, successfully transmit knowledge, or take responsibility. Specifically, the arguments focus on how these factors regulate expert judgments, which are not made in isolation but within complex social connections and spontaneous dialogue. Finally, I will defend the plausibility of the presented criteria in response to a potential objection, the claim that some machine learning-based algorithms, such as AlphaGo, have already been recognized as experts.

Though the social world is real and objective, the way that social facts arise out of other facts is in an important way shaped by human thought, talk and behaviour. Building on recent work in social ontology, I describe a mechanism whereby this distinctive malleability of social facts, combined with the possibility of basic human error, makes it possible for a consistent physical reality to ground an inconsistent social reality. I explore various ways of resisting the prima facie case for social inconsistency. I conclude, however, that the prima facie case survives scrutiny, and draw out some of the ramifications.

Explores the challenges facing democracies in the twenty-first century In Democratic Failure, Melissa Schwartzberg and Daniel Viehoff bring together a distinguished group of interdisciplinary scholars in political science, law, and philosophy to explore the key questions and challenges facing democracies, both in the past and present, around the world. In ten timely essays, contributors examine the fascinating, centuries-old question of whether or not democracy can ever fulfill the promise of its ideals. Together, they explore lessons from the history of democracy, various failures of democratic representation, and more. Ultimately, this latest installment of the NOMOS series provides thought-provoking insights into how we conceptualize, measure, and address democratic erosion in our present-day world.