Effectively Govern AI Risk: A Conversation With IBM

As organizations leverage AI technologies to generate greater customer value and operate more efficiently, unmanaged AI risks threaten to impose significant costs on the enterprise. Organizations often rely on broad, widely disseminated corporate principles, combined with lawyers or independent review boards to assess ethical risks of individual AI use cases. However, since the principles are broad and sometimes abstract, project leaders often can’t make independent decisions on whether individual AI use cases are ethical or not. Combined with legal departments’ and review boards’ lack of visibility into uses of AI within the business, potentially unethical AI use cases may slip through the cracks. Join this complimentary Gartner legal and compliance webinar to learn how one leading organization (IBM) is approaching this challenge by implementing an integrated approach to AI risk management at their organization that minimizes enterprise risks while maximizing the value AI delivers to their customers and shareholders. You will walk away from this session with answers to your vital questions, a copy of the research slides and recommended actions to help you achieve your goals.

Structure AI governance within an organization to best control risk
The role key assurance functions and business leaders should play in governing AI risk
Approach AI use case risk assessment