You cannot register for this webinar

This webinar has ended. Thank you for your interest.

Topic
DOJ Evaluation of Compliance Programs That Incorporate AI
Date & Time

Selected Sessions:

Feb 18, 2025 01:00 PM

Description
Artificial Intelligence (AI) is increasingly becoming a core component of business operations, the Department of Justice (DOJ) is closely scrutinizing how organizations incorporate AI into their compliance programs. This webinar will explore how the DOJ evaluates the effectiveness, risks, and ethical considerations of AI-enabled compliance programs. This webinar will explore how the DOJ evaluates the effectiveness, risks, and ethical considerations of AI-enabled compliance programs. Industry experts and legal professionals will delve into key compliance issues related to AI, including data privacy, algorithmic bias, transparency, accountability, and regulatory challenges. Attendees will gain valuable insights into how organizations can structure AI compliance programs that meet DOJ expectations and safeguard against potential legal pitfalls. What you will gain from attending this webinar: AI in Compliance Programs o Overview of AI applications in compliance (e.g., risk management, fraud detection, anti-money laundering). o Key benefits and challenges of integrating AI into compliance programs. The DOJ’s Focus on AI in Compliance o Overview of the DOJ’s guidelines and recent statements on AI’s role in corporate compliance. o How AI in compliance programs fits into the broader landscape of corporate governance and ethics. o Case studies of DOJ scrutiny on AI-related compliance practices. Evaluating AI Programs: DOJ’s Expectations o How the DOJ evaluates the adequacy and effectiveness of AI-based compliance programs. o Best practices for integrating AI with existing compliance frameworks (e.g., risk-based approaches, monitoring and auditing). o Addressing the DOJ’s emphasis on transparency and accountability in AI-driven decisions. Legal and Ethical Considerations o Addressing potential legal risks: algorithmic bias, data privacy violations, and discriminatory outcomes. o Ensuring transparency: How AI decisions are explainable and verifiable.