Essential Resources for Trusted AI
A curated collection of frameworks, intelligence sources, and industry platforms for senior leaders navigating AI governance, risk and operations.
Regulatory Frameworks & Standards
NIST AI Risk Management Framework (AI RMF) — www.nist.gov/itl/ai-risk-management-framework
The foundational voluntary framework for managing AI risks throughout the system lifecycle. Organized around four core functions (Govern, Map, Measure, Manage), it provides flexible, use-case-agnostic guidance that organizations worldwide use as their baseline. Includes the Generative AI Profile (NIST AI 600-1) released in 2024 and an accompanying Playbook with practical implementation guidance.
EU AI Act Resource Hub — artificialintelligenceact.eu
The comprehensive legal framework governs the development and/or use of AI in the EU. This independent resource, maintained by the Future of Life Institute, provides the complete Act text, interactive explorer, implementation timelines, and regular updates on codes of practice and enforcement guidance. Essential for any organization operating in EU markets or serving customers in the region.
ForHumanity — forhumanity.center
The nonprofit provides more than 40 certification schemes and 7,000+ audit controls covering ethics, bias, privacy, trust, and cybersecurity. Offers the ForHumanity Certified Auditor (FHCA) designation, the gold standard for AI audit professionals, with specialized tracks for EU AI Act, GDPR, NYC AEDT bias audits, and emerging regulations. Works directly with governments and regulatory bodies to establish implementable, binary audit criteria that organizations can build into compliance-by-design.
ISO/IEC 42001 AI Management System Standard — www.iso.org/standard/42001
An international certifiable standard for AI management systems provides requirements for establishing, implementing, and continually improving AI governance within organizations. Follows the Plan-Do-Check-Act methodology and integrates with existing frameworks like ISO 27001. Organizations seeking third-party certification of their AI governance increasingly turn to this standard.
Policy & Research Intelligence
OECD.AI Policy Observatory — oecd.ai
The authoritative global hub for AI policy data, trends and analysis. Tracks over 1,000 AI initiatives across 70+ jurisdictions and provides the intergovernmental OECD AI Principles (updated in 2024) that form the basis for the G20 AI Principles. Includes national AI strategy comparisons, incident reporting frameworks, and emerging best practices.
Stanford Institute for Human-Centered AI (HAI) — hai.stanford.edu
Stanford’s interdisciplinary institute advancing AI research, education and policy. Publishes the annual AI Index Report, the most comprehensive global benchmark on AI capabilities, investment, and regulation. Offers policy bootcamps for regulators, research on AI’s societal impacts, and convenes policymakers with technologists.
World Economic Forum AI Governance Alliance — initiatives.weforum.org/ai-governance-alliance/home
A flagship multistakeholder initiative uniting 350+ members from industry, government, academia, and civil society. Organized around three workstreams: Safe Systems & Technologies, Responsible Applications & Transformation, and Resilient Governance & Regulation. Publishes practical briefing papers and hosts global events on AI governance.
Industry News & Market Intelligence
MIT Technology Review’s The Algorithm — forms.technologyreview.com/newsletters/ai-demystified-the-algorithm/
Weekly newsletter from MIT Technology Review providing rigorous analysis of AI developments, cutting through hype with evidence-based reporting. Covers technical advances, policy implications, and industry trends. Recently partnered with the Financial Times for “The State of AI” series examining AI’s global impact on geopolitics, privacy, energy, and economics.
AI Governance Library — www.aigl.blog
A curated repository of policy briefs, research reports, and frameworks for AI governance professionals. Covers risk management, standards implementation, regulatory analysis, and incident taxonomies. Publishes regular newsletters highlighting essential new papers and practical resources.
VentureBeat — venturebeat.com
Leading source for enterprise AI news, with deep coverage of deployment trends, vendor developments, and executive perspectives. Focuses on the practical realities of AI in business, from agentic AI and LLM infrastructure to governance challenges and ROI measurement. Daily reporting with analysis tailored for technology and business decision-makers.
The Batch (DeepLearning.AI) — www.deeplearning.ai/the-batch
Weekly newsletter from Andrew Ng’s DeepLearning.AI featuring curated AI news, research summaries, and industry analysis. Each issue includes a personal letter from Ng offering authoritative commentary on trends and breakthroughs. Bridges the gap between cutting-edge research and practical business applications, accessible to both technical and non-technical readers.
This resource list is maintained as part of the Trusted AI publication. For updates or suggested additions, message me.


