Jamie R. Collins

What Can I Trust? is a clear-eyed, case-led guide to making better decisions about information in an AI-saturated world. A confident AI summary may cite a source that does not say what it claims. A genuine photograph can be old, cropped, or attached to the wrong event. A video may have a traceable history and still make a misleading argument. A polished post can be wrong without being generated by AI at all.
This book does not promise a magic detector or a single ideological answer key. It shows how to distinguish authenticity, source quality, context, conclusion, provenance, corroboration, incentives, and uncertainty. The result is a calmer alternative to both gullibility and cynicism: evidence-proportional trust, expressed as a decision you can explain and revise.