- 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.
- 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
- 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.