As organizations accelerate AI adoption, leaders face growing challenges in mitigating risks related to bias, privacy, and security. Responsible AI requires robust governance frameworks that ensure transparency, accountability, and trust.
During this On-Demand TDWI Virtual Summit you’ll gain practical guidance for establishing effective AI governance programs. Hear from TDWI research analysts, leading experts, and practitioners how leading organizations are building frameworks to manage model risk, compliance, and responsible deployment while balancing innovation and control.
Free to Attend – Full Agenda Coming Soon
Topics will include:
- Why AI impacts governance programs, and implications for program activities and team member roles
- The establishment of guardrails for safe deployment of consumer AI solutions
- Frameworks and processes for governing AI and managing risk that establish trust and adoption for business AI solutions
- Practices for responsible AI that address bias, ensure fairness, and establish acceptable use
- The role of technology and architecture in governing AI, including feature repositories and model repositories
- Staying abreast of regulatory requirements as technologies evolve and solutions spread across the enterprise