Deepfakes Are No Longer Just a ‘Spot the Fake’ Problem
Why deepfake safety is no longer just about spotting visual clues — and why verification, prevention, reporting and resilience matter more.
Category Research & Policy
What You Put Into AI Is a Decision Too
Why prompts, files and connected accounts create their own risks — and how to decide what is safe to share.
AI Risk Lives in the Workflow, Not Just the Model
Why workflow design, verification cost and genuine human oversight determine whether AI is useful or risky.
Confidence Is a Writing Style, Not Evidence
Why confident AI answers can still be wrong, what calibration means, and how to make uncertainty part of your workflow.
Provenance vs Detection: How Digital Trust Really Works
Provenance and AI detection answer different questions. Learn how C2PA, watermarking and forensic detectors complement each other when verifying digital media.
AI Watermarks Explained: What SynthID Actually Does
AI watermarks such as SynthID can provide durable provenance signals inside generated media. Learn what they can detect, what they cannot prove, and why they work best alongside C2PA and verification.
C2PA & Content Credentials: What They Can and Cannot Prove
What C2PA and Content Credentials actually tell you about the origin and editing history of digital media — and the important things they do not prove.
Can You Trust AI and Deepfake Detectors?
AI and deepfake detectors can be useful, but their scores are not proof. Learn why false positives, compression, unseen generators and context matter when interpreting detector results.
Who Made This, and Can You Prove It? The Big Shift in AI Trust
The future of digital trust is shifting from asking whether content looks fake to asking whether its origin can be proven. Learn how provenance, Content Credentials and authenticity signals are changing what trust means online.
The Five-Layer Shield: Why No Single Tool Can Prove an Image Is Real
No single detector can prove an image is authentic. This explainer introduces a five-layer approach combining provenance, watermarking, fingerprinting, forensic detection and human review.