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.
This program provides attorneys with a foundational understanding of derivatives and their role in m...
There are countless trial skill CLEs that will teach you the basics of trial strategies. This CLE is...
Decentralized Autonomous Organizations (DAOs) and other digital-native structures have moved from ni...
Class action litigation continues to evolve rapidly in response to an innovative plaintiffs’ b...
During this course, you will learn about best practices and strategies for retaining intellectual pr...
Effective representation depends on trust, communication, and responsiveness, yet these can break do...
The course will explore new guidance concerning FCPA enforcement issued by the Trump Administration ...
Trademark doctrine was built for a marketplace that no longer exists, leaving practitioners to litig...
What are the left and rights limits, penalties, and best practices for export controls under Interna...
This dynamic CLE presentation challenges trial lawyers to rethink everything they were taught about ...