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Select  Publications

We aim to continuously share best practices from our work minimizing AI and data risks. Here’s a selection of our published pieces.
Harvard Business Review
How to Red Team a Gen AI Model
MIT Press
AI Audits: Who, When, How...Or Even If?
IAPP
Third-party Liability and Product Liability for AI Systems
US National Institute of Standards and Technology
Towards a Standard for Identifying and Managing Bias in Artificial Intelligence
IAPP
AI Incident Response Plans: Not Just for Security Anymore
ABA Journal
Beyond the Hype: Lessons on auditing AI systems from the front lines
US National Institute of Standards and Technology
The Language of Trustworthy AI: An In-Depth Glossary of Terms
O’Reilly Radar
What We Learned Auditing Sophisticated AI for Bias
In-Q-Tel Labs
AI Audit of RoBERTa, an Open source, Pretrained Large Language Model
Future of Privacy Forum
5 Things Lawyers Need to Know About AI
Future of Privacy Forum
10 Questions on AI Risk
Harvard Business Review
How to Fight Discrimination in AI
Harvard Business Review
New AI Regulations Are Coming. Is Your Organization Ready?
Harvard Business Review
Ethical Frameworks for AI Aren’t Enough

Select AI Regulatory Guidance

The regulatory environment surrounding AI is constantly in flux. Here is some of the most impactful and informative regulatory guidance we are watching.
Five Eyes Intelligence Alliance
Best Practices for Deploying Secure and Resilient AI Systems
US National Institute of Standards and Technology
AI Risk Management Framework, Version 1.0, January 2023
US National Institute of Standards and Technology
AI Risk Management Framework Playbook
US Federal Reserve Board
Supervisory Guidance on Model Risk Management (SR 11-7)
Office of the Comptroller of the Currency
Comptroller’s Handbook on Model Risk Management, Version 1.0, August 2021
US Federal Trade Commission
Algorithms and Economic Justice: A Taxonomy of Harms and a Path Forward for the Federal Trade Commission
White House Office of Science and Technology Policy
Blueprint for an AI Bill of Rights
Canada
Directive on Automated Decision-Making
New Zealand
Algorithm Charter for Aotearoa
UK Information Commissioner’s Office
Auditing Framework for AI and Its Core Components
US Federal Trade Commission
Aiming for Truth, Fairness, and Equity in Your Company’s Use of AI
Singapore Personal Data Protection Commission
Model AI Governance Framework

Luminos.Law in the News

Prominent media outlets look to Luminos.Law for expert commentary on the latest in AI legal and regulatory developments. Here are some recent articles that highlight our expertise.
Wall Street Journal
Generative AI Isn’t Ubiquitous in the Business World—at Least Not Yet
Bloomberg
Lawyers, Scientists Team Up at One-Stop DC Shop for AI Risk
Inc. Magazine
A New Anti-Bias A.I. Hiring Law Is Now in Effect. How to Know if You're in Compliance
ABA Journal
What cybersecurity threats do generative AI chatbots like ChatGPT pose?
Wall Street Journal
Banning TikTok in the U.S. Is Easier Said Than Done
CSO Magazine
Why red team exercises for AI should be on a CISO's radar
Reuters
As ChatGPT's popularity explodes, U.S. lawmakers take an interest
VentureBeat
OpenAI says ChatGPT must be regulated. Meanwhile, get ready for AI audits
VentureBeat
NIST releases new AI risk management framework for ‘trustworthy’ AI
TechCrunch
The current legal cases against generative AI are just the beginning
Datanami
NYC’s New AI Hiring Law Won’t Be Enforced Until April
Wall Street Journal
New York City Delays Enforcement of AI Bias Law
New York Times
How the Collapse of Sam Bankman-Fried’s Crypto Empire Has Disrupted A.I.
Wall Street Journal
New York’s Landmark AI Bias Law Prompts Uncertainty
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