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.
Cellphones represent one of the fastest-changing areas of legal practice. Mobile device evidence is ...
The always idiosyncratic Nassim Taleb likes to say, “Nothing is more permanent than ‘tem...
Generative AI is transforming how lawyers work, but it’s also raising new ethical and practica...
Large World Models (LWMs)— the next generation of AI systems capable of generating...
MODERATED-Part 1 of 2 - In this presentation, I will discuss strategies for cross-examining expert w...
A litigator’s role is to shape how key decision-makers - judges, jurors, and opposing counsel ...
In today’s fast-evolving digital landscape, data privacy is no longer just a compliance checkb...
We are at that time again. Resolution time. Or maybe they’re already nothing more than another...
Synthetic identity fraud creates a significant legal and compliance challenge for professionals by c...
Part 1 of 2 - Lawyers at all levels of experience and even sophisticated law firms and general couns...