Philosophy

Research Highlights

AI, Objectivity, and the Limits of Scientific Disruption

This philosophical examination challenges prevailing narratives about AI disrupting scientific practice and knowledge production. Andrews argues that many claims about AI transforming science rest on a confused understanding of scientific objectivity. Rather than AI enabling fundamentally new forms of objectivity or disrupting how science operates, the paper demonstrates that such claims mistake the instrumental role of AI for a conceptual revolution. The work developed during Andrews’ PIBBSS fellowship but was only published years later.

Research Highlights

AI Safety as an Emerging Paradigm

Angelou examines AI safety through the lens of paradigm formation, asking whether AI safety constitutes an emerging scientific paradigm in the Kuhnian sense. The chapter analyzes the field’s conceptual foundations, methodological commitments, and community structures, identifying both paradigmatic features (shared problem sets, research programs) and pre-paradigmatic characteristics (competing frameworks, lack of consensus on fundamentals). This meta-level analysis helps situate AI safety research within broader philosophy and history of science, providing perspective on the field’s maturity and development trajectory.