Stanford HAI AI Index 2026: What Executives Should Track
Stanford HAI's 2026 AI Index is a core research reference for AI capability, adoption, investment, policy, and governance trends.
Reading note · AI Governance
Source: hai.stanford.edu
Original observations and attributed reading from the wider field of AI evaluation.
Expert Insights · 15 notes
View allMIT AI Risk Repository: A Practical Taxonomy for Risk Registers
MIT's AI Risk Repository helps governance teams sort AI risks into categories that work for registers, controls, and executive review.
Reading note · AI Risk Management
Source: airisk.mit.edu
CSET AI Governance Research: Enterprise Signals to Watch
CSET policy research helps enterprises understand AI governance, security, capability trends, and institutional readiness.
Reading note · AI Governance
Source: cset.georgetown.edu
RAND AI Research: Risk and Policy Signals for Enterprise Leaders
RAND AI research helps executives assess AI through risk, security, policy, and operational consequence lenses.
Reading note · AI Risk Management
Source: rand.org
Alan Turing Institute: Trustworthy AI Research for Governance Teams
The Alan Turing Institute offers research and policy context for trustworthy AI, responsible innovation, and data science governance.
Reading note · AI Governance
Source: turing.ac.uk
Partnership on AI: Responsible AI Resources for Deployment Review
Partnership on AI resources help teams turn responsible AI principles into deployment governance and accountability practices.
Reading note · AI Governance
Source: partnershiponai.org
MLCommons: Why Evaluation Evidence Must Be Comparable
MLCommons gives teams benchmark and evaluation context for structured, comparable AI performance evidence.
Reading note · AI Evaluation
Source: mlcommons.org
ACM AI Accountability Resources: Governance Beyond Model Metrics
ACM resources give professional and technical context for responsible computing, AI accountability, and governance practice.
Reading note · AI Governance
Source: acm.org
IEEE AI Ethics Resources: Human Oversight and Accountability
IEEE AI and ethics resources link technical design, human oversight, transparency, and accountability.
Reading note · AI Governance
Source: standards.ieee.org
Nature AI Research: Reliability Evidence Must Include Limits
Nature's AI research coverage is useful for understanding reliability limits, scientific evaluation, and responsible AI deployment.
Reading note · AI Evaluation
Source: nature.com
Science AI Coverage: Evidence-Based Adoption Over Vendor Claims
Science offers authoritative research and policy context for AI evaluation, governance, and evidence-based adoption.
Reading note · AI Evaluation
Source: science.org
Brookings AI Policy Research: Board-Level Governance Questions
Brookings AI research helps executives understand governance, regulation, public impact, and institutional accountability.
Reading note · AI Governance
Source: brookings.edu
