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AI Expert
Johnie T Young is an AI expert and governance practitioner with deep experience helping fast-moving technology companies implement responsible AI practices at small-team scale. With a focus on practical, actionable frameworks, Johnie built AI Policy Desk to close the gap between enterprise-grade compliance tooling and the real-world needs of lean product teams. Before founding AI Policy Desk, Johnie worked across a range of technology companies advising on AI risk management, GDPR readiness, and EU AI Act compliance. With the rapid emergence of AI regulation globally, Johnie identified a clear need: governance resources written for 10-person teams, not Fortune 500 legal departments — practical templates, checklists, and guides that teams can pick up and use today.
221 articles by Johnie T Young
Texas TRAIGA carries civil penalties up to $200,000 per violation plus up to $40,000 per day for continuing violations. The safe harbor, an affirmative defense, is substantial NIST AI RMF compliance. This checklist covers what you need and how to use the 60-day cure period.
Multiple AI regulations now include mandatory incident reporting. EU AI Act Article 73 requires serious incident reports within 72 hours. This guide covers all reporting obligations across jurisdictions, what triggers them, and how to build a compliant incident response process.
Companies operating across multiple US states and the EU face overlapping AI obligations from a dozen different laws. This guide shows how to build one governance program that satisfies all of them without running 12 parallel compliance tracks.
5 TypeScript modules for AI agent observability: trace context, token and cost metering, structured event logging, tool-call tracing, and OpenTelemetry export. Express and Next.js compatible, with the governance reasons each one matters.
Amazon KDP's AI disclosure requirement covers text, images, and translations, but the line between 'generated' and 'assisted' is not always obvious. This guide covers 12 content types and 8 edge cases, with the correct disclosure decision for each.
Anthropic published research on June 4, 2026 showing Claude now writes 80% of its own codebase, and called for the ability to pause frontier AI development. What recursive self-improvement means for human oversight policies and agentic AI governance.
Boards are now accountable for AI governance failures. SEC expects AI risk disclosure, and the EU AI Act requires governance at the highest level. This guide covers what quarterly AI reports to boards should contain and a copy-paste template.
OpenAI''s Dreaming V3 memory update stores persistent user profiles across ChatGPT sessions including business plan users. What teams using ChatGPT need to govern, disable, and disclose under GDPR and CCPA.
Shadow AI adds $670K to breach costs, and small teams have the highest exposure. How to detect unsanctioned AI tools and govern them without an IT team.
EU AI Act, NIST AI RMF, and the White House AI executive order all include red-teaming requirements for AI systems. This guide covers what red-teaming means for AI, what testing is required at each risk tier, and how small teams can comply.
California AB 2013 requires generative AI developers to post 12 categories of training data information on their website before making a system available to Californians. Effective January 1, 2026. What to disclose, who is covered, and the xAI lawsuit that tried and failed to block it.
Legal departments face distinct AI risks: attorney-client privilege waiver, bar ethics rules on confidentiality, and liability for AI-assisted legal work. This guide covers what in-house counsel and law firms must do before using AI for legal work.