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.
U.S. businesses providing online services that are used by minors face a rapidly evolving patchwork ...
Trademark doctrine was built for a marketplace that no longer exists, leaving practitioners to litig...
This course examines the latest legal and compliance developments in the artificial intelligence (AI...
My contract was terminated and the contracting officer did not pay my invoices – what can I do...
Learn about the best strategies and tactics to file bid protests at the agency level, U.S. Governmen...
Explore the transformative potential of generative AI in modern litigation. “Generative AI for...
Class action litigation continues to evolve rapidly in response to an innovative plaintiffs’ b...
What are the left and rights limits, penalties, and best practices for export controls under Interna...
This course will provide a detailed overview of the Medicare Secondary Payer act as well as provide ...
The General Data Protection Regulation (GDPR) continues to impact legal firms and organizations worl...