Generative AI (GenAI) applications are creating complex challenges as it relates to maintaining compliance with privacy law. This course defines GenAI, walks through the privacy challenges developers and end users face in light of it, and reviews how and why the NIST Privacy Framework and the AI Risk Management Framework are important for dealing with these challenges. The program wraps up with a review of practical risk assessment and mitigation strategies for both developers and end users.
Open-source AI models have gone from niche developer tools to enterprise essentials almost overnight...
Section 337 provides powerful, efficient and rapid remedies for a wide range of unfair methods of co...
Thinking Like a Lawyer, Prompting Like a Pro: Prompting Ethically, Securely, and Safely explores how...
Perfectionism is often rewarded in the legal profession. It drives attention to detail, thorough pre...
New York City’s new Non-Primary Residence Property Surcharge—commonly known as the pied-...
Decentralized Autonomous Organizations (DAOs) and other digital-native structures have moved from ni...
This program addresses a gap no standard ethics CLE reaches: the psychology of what happens inside t...
Trial Starts Now: Winning the Final Six Months provides a comprehensive guide to the critical tasks ...
Lawyers lose hundreds of billable and operational hours every year to poorly managed meetings. Unfoc...
During this course, you will learn about best practices and strategies for retaining intellectual pr...