Responsible AI & Governance

Using AI well means knowing where it fails

Part of the Hub's job is to be honest about risk. We are starting to track harms that matter — like job disruption, data privacy, algorithmic bias, environmental impact, and intellectual property — along with guardrails that mitigate them, and tell Rhode Island companies, nonprofits, policymakers, and residents what we find.

A state that adopts AI without understanding where it fails will get worse outcomes than one that adopts it more carefully.

More coming soon — we're building out formal guidance and resources here.

Contact us to learn more.

Some of the Frameworks We Reference

• The NIST AI Risk Management Framework — NIST AI 100-1, Version 1.0 (January 2023). Direct PDF
• The NIST Cybersecurity Framework 2.0 — NIST CSWP 29 (February 2024). Direct PDF
• OWASP Top 10 for LLM Applications — 2025 edition, maintained by the OWASP Gen AI Security Project
• MITRE ATLAS — Adversarial Threat Landscape for Artificial-Intelligence Systems