Day 1: Jun 4, 2025
Day 2: Jun 5, 2025
12:00 pm
PANEL
Ensuring Fairness in AI: Designing Architectures for Equity and Accountability
Protect your most valuable data. Detect and mitigating biases in data sources and AI algorithms while fostering transparency and accountability throughout the AI lifecycle. Develop a blueprint to:
- Adopt frameworks for identifying and addressing biases in data and algorithms.
- Enhance transparency and accountability in building trust in AI systems.
- Build credibility with executives, teams, and customers through fair AI practices.
Amplify innovation and brand building to foster trust and drive long-term success in your organization.
