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.
Philip A. Greenberg, Esq., who has been a litigator in the State and Federal Courts for 52 years, ha...
Adverse and derogatory information often has devastating effects on a contractor's ability to win co...
The General Data Protection Regulation (GDPR) continues to impact legal firms and organizations worl...
This program, conducted by a seasoned litigation and trial lawyer, will emphasize what litigators ca...
Class action litigation continues to evolve rapidly in response to an innovative plaintiffs’ b...
This program introduces psychosocial evaluations as a valuable tool in civil litigation, particularl...
Use of artificial intelligence and other automated tools for performance and predictive analytics in...
Recent studies have shown that there has been a dramatic increase in impairment due to alcoholism, a...
This course examines the latest legal and compliance developments in the artificial intelligence (AI...
This program provides a comprehensive framework for integrating Borderline Personality Disorder (BPD...