Part 1 of 2 - This program examines the intersection of AI ethics and legal responsibility, focusing on moral principles such as fairness, accountability, and non-maleficence; the integration of human values including privacy, autonomy, and inclusivity; and the critical role of multidisciplinary collaboration in developing ethical AI practices. Attendees will learn actionable strategies for conducting ethical audits, implementing transparent AI systems, thereby mitigating risk while enhancing client trust and competitive advantage.
Learning Objectives for Attorneys:
• Understand the concept of ethical audits and bias mitigation.
• Learn strategies for implementing transparency and accountability in AI.
• Gain insight into interdisciplinary approaches and current legal frameworks governing AI.
• Review the application of ABA ethical standards in AI deployment.
Explore the transformative potential of generative AI in modern litigation. “Generative AI for...
Use of artificial intelligence and other automated tools for performance and predictive analytics in...
U.S. businesses providing online services that are used by minors face a rapidly evolving patchwork ...
This course analyzes federal contractor cyber security obligations under the Federal Acquisition Reg...
Learn about the best strategies and tactics to file bid protests at the agency level, U.S. Governmen...
Many law firms now rely on AI?driven research, drafting, and workflow tools without fully understand...
What are the left and rights limits, penalties, and best practices for export controls under Interna...
Workplace investigations are now more complex, high-stakes, and scrutinized than ever before. Employ...
Decentralized Autonomous Organizations (DAOs) and other digital-native structures have moved from ni...
This course analyzes federal contractor obligations under the Trade Agreements Act. Learn how to ens...