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Sample AI Incident Response Checklist

Getting Started - Liability Triage
Phase I - Preparation
Phase II - Identification
Phase III - Containment
Phase IV - Eradication
Phase V - Recovery
Phase VI - Lessons Learned
List of References

The above resources are shared under a CC BY-NC-SA 4.0 license.

Select BNH.AI Publications

10 Questions on AI Risk - Future of Privacy Forum
What to Do When AI Fails: Guidelines for AI Incident Response - O'Reilly Radar
How to Fight Discrimination in AI - Harvard Business Review
Build Your AI Incident Response Plan… Before It’s Too Late - Cyber Defense Magazine
Why You Should Care About Debugging Machine Learning Models - O'Reilly Radar
The Liabilities of Artificial Intelligence Are Increasing - Law.com
Ethical Frameworks for AI Aren’t Enough - Harvard Business Review
AI/ML Risk & Security Working Group Whitepaper - Artificial Intelligence for Business at Wharton
Seven Legal Questions for Data Scientists - O'Reilly Radar

Select Regulatory Guidance on AI

Directive on Automated Decision-Making - Canada
Algorithm Charter for Aotearoa - New Zealand
Auditing Framework for AI and Its Core Components - UK Information Commissioner's Office
Supervisory Guidance on Model Risk Management - US Federal Reserve Board
Model AI Governance Framework - Singapore Personal Data Protection Commission

Comments or questions? Please reach out to contact@bnh.ai. Disclaimer: bnh.ai leverages a unique blend of legal and technical expertise to protect and advance clients’ data, analytics, and AI investments. Not all firm personnel, including named partners, are authorized to practice law.