Research & Blog
AI regulation decoded into what compliance, risk, and legal teams must do.
Illinois has shifted frontier AI safety from self-attestation to outside verification. The teams that win approvals after 2027 will be the ones that can show testable evidence, exception handling, and audit trails.
How organizations can build and maintain trust in enterprise AI through quality gates, transparent uncertainty, human oversight, and continuous monitoring.
How poor AI quality hits your bottom line through lawsuits, regulatory penalties, and lost customer trust. The true cost of deploying AI without proper risk controls.
As AI races ahead, corporations promise they'll regulate themselves just enough to calm public backlash. History suggests otherwise.
The devastating human impact of non-consensual deepfake technology, and what it takes to safeguard reality: detection, law, platform responsibility, and victim support.
Occasional notes on AI risk, adversarial testing, and governance. No marketing drip.