The FCBA Artificial Intelligence, Machine Learning, and Robotics Ad Hoc Committee and Professional Responsibility Committee will co-sponsor a CLE on Tuesday, October 24 from 1:00 – 3:00 p.m. ET entitled The Promise and Peril of Generative AI. This program will be held virtually via the Zoom platform.

Come join us for an exciting discussion on the opportunities and pitfalls presented by generative AI.

The first hour of the program will explore how the rules of professional responsibility—including the ethical duties of competence, communication, confidentiality, candor to the tribunal, and supervision—govern attorneys’ use of ChatGPT and other emerging technology. The panelists will also discuss other ethics issues implicated by use of AI, including bias in facial recognition, predictive policing, and hiring.

The second hour of the program will provide a technical overview of how Machine Learning systems operate and the compliance challenges they face under existing regulatory frameworks, along with a more in-depth review of the legal issues raised around 3rd party liability and Intellectual Property protections.

The FCBA will apply for 1.0 hour of Ethics credit and 1.0 hour of general MCLE credit from the VA Bar.  This program has not yet been approved.

FCBA no longer offers CA MCLE credit to attendees.  If you wish to obtain CA credit, you must apply for it on your own.  FCBA will, however, provide a generic certificate of attendance that may be used.  Please click here for more information on the CA Bar Standards for MCLE Activity Approval and Requirements.

Click here to register.

If you have any issues, please contact Wendy Parish at wendy@fcba.org.

AGENDA

1:00 – 2:00 p.m.         The Ethics of Generative AI  

• Rules of Professional Responsibility Implicated by Attorneys’ Use of AI
  • Competence (Rule 1.1)
  • Communication (Rule 1.4)
  • Confidentiality (Rule 1.6)
  • Candor to the Tribunal (Rule 3.3)
  • Supervision (Rule 5.1, Rule 5.3)
  • Unauthorized Practice of Law (Rule 5.5)
• Other Ethics Issues Presented by AI
  • Bias and Ineffectiveness in Classifiers
    • Facial Recognition
    • Predictive Policing
    • Hiring
  • Sources of Bias in AI Data Collections
  • Ethics of Mass Data Ingestion
  • Labor Issues
  • Surveillance and Feedback Loops

Speakers:
Deepika Ravi, Partner, HWG LLP
Michael Rosenbloom, Teaching Fellow, Stanford Law School

2:00 – 3:00 p.m.      The Current State of AI

• A technical overview of AI
  • Predictive ML in general and Generative AI in particular
• Current legal landscape of applicable laws and regulations
• Third party liability relative to AI-based business partnerships
• The IP implications of generative AI systems

Speakers:
Addie Cooke, Global AI Policy Lead, Google Cloud
Meredith Rose, Senior Policy Counsel, Public Knowledge

Moderator:
Brenda Leong, Partner, Luminos.Law

Cost: $135.00 for Private Sector Members; $95.00 for Non-Profit 501c3 Members; $50.00 for Government/Academic/Transitional/Retired Members; No charge for Law Student Members; $205.00 for Non-Members