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 Twelfth Juror: Lessons on Jury Selection from a Trial Lawyer’s Novel and a Trial Consultan...
In Part 2, Mr. Kornblum will again use segments from the movies to teach pre-trial and trial tactics...
Thinking Like a Lawyer, Prompting Like a Pro: Prompting Ethically, Securely, and Safely explores how...
Abrasive or burned out? Overworked or uncivil? Zealous advocate or bully? The legal profession is c...
During this course, you will learn about best practices and strategies for retaining intellectual pr...
Open-source AI models have gone from niche developer tools to enterprise essentials almost overnight...
The Aftermath of Scams and Cybercrime: A Practical Guide to Response and Recovery examines the immed...
This program provides a practical roadmap to mastering every stage of the discovery process in civil...
AI agents — autonomous systems capable of planning, deciding, and acting independently across ...
This program addresses a gap no standard ethics CLE reaches: the psychology of what happens inside t...