I wanted to share a really valuable resource that Guy Marshall highlighted on LinkedIn earlier today — the MIT FutureTech AI Risk Repository.

👉 https://airisk.mit.edu/

This is one of the most comprehensive public collections of AI-related risks available, bringing together:

• 1,600+ documented AI risks
• Sourced from 65 different frameworks
• Categorised by both cause and risk domain
• Designed for organisations, regulators, auditors, and policymakers

It’s a genuinely useful tool for anyone trying to understand where AI can introduce vulnerabilities — and how those risks can be governed effectively.

Why I’m sharing this with socialhousing.ai members

Many of the risk types and themes in the MIT repository translate directly into our sector’s emerging AI landscape, including:

• transparency and accountability
• fairness and bias
• data quality and data protection
• automated decision-making
• consumer impact
• governance expectations for AI use

If you're exploring AI tools, supporting organisational adoption, or thinking about governance and assurance, this repository gives you a clear structure for understanding potential risks — not just technically, but operationally and ethically too.

Thanks to Guy Marshall

A big thank you to Guy Marshall PhD for sharing this earlier. You can follow Guy for more strategic insights about AI at https://www.linkedin.com/in/guy-marshall/

I wanted to circulate it more widely for the socialhousing.ai community as I think many of you will find it both relevant and thought-provoking.

Hope you find it useful.