PUBLIC INTEREST AI GOVERNANCE
Practical AI ethics for teams deploying AI.
ThinkTech publishes evidence-based guides, risk checklists, benchmark explainers, and policy trackers for people making real decisions about AI systems.
AI Risk Register Preview
Primary risks
Recommended controls
Featured tools
View all toolsAI Risk Register Template: A Practical Framework for Teams
A ready-to-use AI risk register template with pre-filled examples for five common use cases. Includes scoring methodology, review cadence, and a structured format for tracking AI risks across your organization.
AI Procurement Checklist: 47 Questions Before Buying AI Tools
A structured checklist of 47 questions for procurement teams evaluating AI vendors. Covers data handling, model transparency, compliance, support, and exit strategy.
Latest AI governance guides
View all guidesAI Vendor Due Diligence: 30 Questions in Five Categories
A structured framework for evaluating AI vendors before procurement. Covers 30 questions across model transparency, data practices, security, compliance, and commercial terms, with a red flags table and comparison framework.
AI Ethics for Product Teams: A Practical Checklist
A structured checklist for product managers and engineers building AI-powered features. Covers data sourcing, model selection, user disclosure, and ongoing monitoring.
AI risk library
View full libraryAI Data Leakage: Patterns, Detection, and Mitigation
Data leakage through AI systems occurs when sensitive information is exposed through model outputs, training data memorization, or API logging. This entry covers five documented patterns, a risk matrix, detection methods, and regulatory implications.
AI Hallucination: Definition, Patterns, Detection, and Mitigation
AI hallucination occurs when a model generates confident, plausible-sounding information that is factually incorrect. This entry covers how it happens, how to detect it, and what mitigation strategies are available.
Policy tracker
View full trackerAI regulation is evolving across jurisdictions. Our policy tracker covers the EU AI Act, US executive orders, and other major governance frameworks as they develop.
Open Policy TrackerBenchmark explainers
View allHow to Read AI Leaderboards Without Getting Fooled
AI leaderboards rank models by benchmark scores, but the rankings often mislead. This guide covers six common ways leaderboards deceive, what to check before trusting results, and how major benchmarks actually differ.
Why AI Benchmarks Mislead Buyers and Decision-Makers
AI benchmarks are the primary tool vendors use to compare models. They are also systematically misleading. Here is what benchmark scores actually tell you, and what they hide.
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