As AI transforms business and legal proceedings, it poses pressing legal and ethical questions. This session explores the nexus of technology and law, addressing AI-generated evidence, third-party liability, and AI reliability in courts. We also uncover AI's unregulated workforce impacts, urging comprehensive governance. In the justice system, AI predictive tools raise transparency and fairness concerns. As AI reliance grows, we question its impartial use across personal and corporate domains. Can AI predict corporate misconduct? Legal professionals, policymakers, and technologists must examine AI's role to ensure justice and equity in a technologically advancing world.

Learning Objectives:

• Gain insights into the multifaceted legal and ethical challenges arising from the integration of artificial intelligence in business operations and legal proceedings. Delve into the topics of the admissibility of AI-generated evidence, third-party liability, and the implications for fairness and transparency within the justice system
• Examine the hidden impacts of AI's undisciplined use within the workforce, exploring how unchecked applications of AI technology can redefine organizational responsibilities, reshape liability frameworks, and pose significant ethical dilemmas. Understand the urgent need for comprehensive governance and oversight in managing AI deployments
• Examine the ethical implications of AI-driven predictive tools in the justice system, scrutinizing their impact on transparency, fairness, and the right to a fair trial. Explore whether AI's predictive capabilities, applied to individuals, should likewise anticipate corporate misconduct, prompting critical examination of AI's ethical implications in both realms