Projects
AiR Hub’s current research programs. For the gambling industry, the question is no longer whether to use AI, but whether it works, whether it is safe, and whether you can prove it. Each program builds the shared benchmarks, tools and evidence to answer those questions, across operations, products, compliance and the player experience.
- State of AI in GamingFlagship OngoingThe industry's reference report on AI adoption, governance, opportunities, and challenges.
The State of AI in Gaming is AiR Hub’s annual, independent benchmark of AI across the global gambling industry. The inaugural edition, published in April 2026, is a 113-page report built on survey responses from 83 gambling companies and 113 …
- Player Risk Detection BenchmarksOngoingIndependent, standardized evaluation of harm-detection models against common datasets, metrics and protocols.
Operators and suppliers increasingly use algorithms to identify players at risk of gambling harm. But the industry has no common, objective way to test whether these tools work. Our benchmarking framework, published in the Journal of Gambling Studies …
- AI Use Case RegistryOngoingAn open-source AI governance tool that helps organizations document, risk-classify and oversee their own AI systems.
The registry is now free and open source, for any organization to adopt and run itself. Explore the open-source registry →
The AI Use Case Registry is a governance tool that helps organizations document and classify their AI systems across the …
- LLM Testing Suite for GamblingOngoingStress-testing LLMs, chatbots and agents to find the gambling scenarios where they fail and need alignment.
People increasingly turn to general-purpose AI assistants for gambling advice. We systematically test how leading large language models respond in gambling conversations: whether they validate cognitive distortions, facilitate harmful play, or help …