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.
The Aftermath of Scams and Cybercrime: A Practical Guide to Response and Recovery examines the immed...
This course examines the latest legal and compliance developments in the artificial intelligence (AI...
Abrasive or burned out? Overworked or uncivil? Zealous advocate or bully? The legal profession is c...
This program provides a practical roadmap to mastering every stage of the discovery process in civil...
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...
Open-source AI models have gone from niche developer tools to enterprise essentials almost overnight...
In Part 2, Mr. Kornblum will again use segments from the movies to teach pre-trial and trial tactics...
In 1968, English rock band The Zombies released their psychedelic counterculture anthem, “Time...
This course on trade secrets litigation provides real-world best practices through all key stages of...