AI is reshaping how evidence is produced, interpreted, and contested, making it easier to identify patterns and generate claims from large datasets while also enabling new forms of fabrication and forgery at scale. The Future of Evidence explores how these shifts challenge established ideas of authenticity, provenance, and verification, even as they expand the possibilities around new ways of knowing.
This theme invites exploration into how evidence functions across fields — from science and medicine to law, journalism, history, and the arts — and how AI is transforming it. It also surfaces questions of what standards, institutions, or mechanisms can help to sustain credible knowledge while preserving openness and free expression.
