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Johnie T Young
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.
- AI governance practitioner
- EU AI Act and GDPR specialist
- AI risk management expert
- Compliance frameworks for small teams
EU AI Act complianceAI governance frameworksGDPRRisk assessmentShadow AI managementVendor evaluationAI incident responseModel risk management
322 articles by Johnie T Young
Guides·10 min
Read →Texas TRAIGA Safe Harbor: NIST AI RMF Alignment Checklist (2026)
Texas TRAIGA fines reach $200,000 per violation. Learn how the TRAIGA safe harbor NIST AI RMF defense works plus the 60-day cure period.
texas-ai-lawtraiganist-ai-rmfcompliance
Guides·11 min
Read →AI incident reporting: when you must notify regulators in 2026
EU AI Act Article 73, FTC, and FDA all require AI incident reports. Know what triggers each regime, the deadlines, and how to comply across jurisdictions.
ai-governanceincident-reportingeu-ai-actcompliance
Guides·13 min
Read →Multi-state AI compliance in 2026: operating across US and EU AI laws at once
Running 12 compliance tracks for 8 US state AI laws plus the EU AI Act? One multi-state AI compliance strategy for 2026 replaces them all.
ai-compliancemulti-stateeu-ai-actnist-ai-rmf
Security·13 min
Read →TypeScript AI Agent Observability and Tracing: 5 Paste-Ready Modules (2026)
5 paste-ready TypeScript AI agent observability modules: trace context, cost metering, event logging, tool-call tracing, and OpenTelemetry export.
ai-securitytypescriptobservabilityai-agents
Governance·9 min
Read →Anthropic Recursive Self-Improvement 2026: Claude Writes 80% of Its Own Code, and Your AI Governance Policy Needs to Catch Up
Claude writes 80% of Anthropic's code. Which 4 documents does your recursive self-improvement AI governance policy need before this hits you?
ai-governanceai-safetyagentic-aihuman-oversight
Templates·11 min
Read →Board AI governance reporting: what to tell your board every quarter in 2026
What goes in your board AI governance report each quarter in 2026? Key metrics, SEC risk disclosures, and a copy-paste reporting template.
ai-governanceboard-reportingcompliancesec-disclosure
Governance·10 min
Read →ChatGPT Memory Upgrade (Dreaming V3): What It Means for Business Privacy and Data Governance
Does ChatGPT's Dreaming V3 memory store your team's data across sessions? What to govern, disable, and disclose for privacy under GDPR and CCPA.
ai-governancechatgptdata-privacygdpr
Guides·17 min
Read →Shadow AI Policy for Small Teams: 2026 Detection and Governance Guide
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.
shadow-aiai-governanceai-policycompliance
Guides·12 min
Read →NIST AI Red Teaming: What It Is, What It Tests, and How to Run One in 2026
Which AI red-teaming security testing requirements apply in 2026? NIST AI 600-1 explained, plus how small teams run a testing program.
ai-securityai-governancered-teamingcompliance
Governance·10 min
Read →California AB 2013 Compliance Guide: What AI Developers Must Disclose About Training Data (2026)
Which 12 training data disclosures does California AB 2013 require? AI training data transparency rules, who's covered, and the failed xAI suit.
ai-compliancecaliforniatraining-dataai-transparency
Guides·10 min
Read →AI governance for legal teams and general counsel: privilege, confidentiality, and risk 2026
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.
legal-aiattorney-client-privilegeai-governancelegal-compliance
Governance·10 min
Read →Amazon KiroRank and Tokenmaxxing: How to Measure AI Adoption Without Creating Perverse Incentives
Amazon scrapped KiroRank after staff gamed it with tokenmaxxing. Build AI adoption metrics that reward outcomes, not fake usage volume.
ai-governanceai-adoptionai-metricsengineering