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.
Dr Jireh Jam
Dr Jireh Jam is a computer vision and AI technologist specialising in deepfake detection, synthetic media, content provenance, watermarking, age assurance, AI evaluation and online safety. He holds a PhD in Computer Vision and has led applied AI research, evaluation and public-interest technology projects, translating complex technical risks into practical guidance for communities, organisations and policymakers.
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.
Your Senses Are No Longer Enough to Prove Authenticity
Why realistic voices, images and video are no longer sufficient proof — and why independent verification matters.
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.
Fluency Is Generated, Truth Is Not
Why AI can sound convincing while still getting specific facts wrong — and how to verify what matters.
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.
How to Verify a Video Online: A Practical Guide
A practical workflow for checking whether an online video is trustworthy using source verification, key-frame search, context, provenance, audio checks and detector results.
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.