AI Explained: Legal Frontiers of AI
April 27, 2023
10 AM PT / 1 PM ET
Registration is now closed. Please check back later for the recording.
Watch this exclusive webinar featuring Patrick Hall, Co-Founder of BNH.AI, a boutique law firm specializing in AI risk. We will delve into critical aspects of AI, such as model risk management, generating adverse action notices, addressing algorithmic discrimination, ensuring data privacy, fortifying ML security, and implementing advanced model governance and explainability.
Watch this AI Explained to learn:
- Strategies for managing model risk
- Best practices for advanced model governance
- How to navigate the complex intersection of AI, law, and ethics
AI Explained is our AMA series featuring experts on the most pressing issues facing AI and ML teams.
Co-Founder and Principal Scientist
BNH.AI, Visiting Faculty at The George Washington School of Business
Patrick Hall is BNH.AI's principal scientist. He advises clients on AI risk and researches AI risk management for NIST's AI Risk Management Framework. He teaches data ethics and machine learning at The George Washington School of Business. Patrick co-founded BNH and led H2O.ai's efforts in responsible AI. He has presented talks at the National Academy of Science, ACM SIG-KDD, and the Joint Statistical Meetings. Patrick's technical work has been featured in Fortune, Wired, and TechCrunch. He is the lead author of “Machine Learning for High-risk Applications.” Patrick holds degrees in math and analytics.
Mary Reagan, PhD
Senior AI/ML Product Manager
Mary Reagan is a Senior AI/ML Product Manager at Fiddler AI and previously worked as a Data Scientist. Mary has a passion for technology and a commitment to delivering high-quality solutions in the ever-evolving world of AI and machine learning. She received her PhD from Stanford University.