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.
Successful personal injury defense practice requires far more than strong legal arguments—it d...
The filing of multiple RICO complaints in federal courts in New York State against plaintiffs’...
Effective data privacy and artificial intelligence governance programs do not happen by accident. Th...
Review the basic software concepts and effective uses of generative AI, prompting strategies, and me...
This course breaks down GAAP’s ten foundational principles and explores their compliance impli...
Artificial intelligence is already reshaping legal practice, from research and drafting to litigatio...
Evidence Demystified Part 1 introduces core evidentiary principles, including relevance, admissibili...
Explore the transformative potential of generative AI in modern litigation. “Generative AI for...
United States patent law and the United States Patent and Trademark Office’s patent-related gu...
The landscape of global finance is undergoing a seismic shift as traditional assets migrate to the b...