As artificial intelligence reshapes enterprise decision-making, data leaders must confront a critical challenge: ensuring AI systems are ethical, transparent, and free from bias. Without proactive measures, businesses risk losing customer trust, facing regulatory scrutiny, and falling behind in an increasingly competitive landscape.

Join the conversation at the CDO Magazine Atlanta Leadership Summit on April 24, 2025. In the breakout session, “Bias and Ethics in Data: Building Trust Through Transparency,” industry experts will tackle pressing issues around AI bias, transparency, and responsible AI frameworks:

• Gabriel Charvat, Dun & Bradstreet VP of Data Quality Insights

• Ehrar Jameel, TK Elevator Head of Data Enablement, Analytics & AI

• Su Rayburn, Delta Community Credit Union VP of Information Management & Analytics

• Moderator: Peter Vennel, Equifax Global Data Office Leader

This must-attend session will provide actionable strategies for mitigating AI bias, fostering transparency, and building responsible AI frameworks.

Why AI Ethics Matter Now More Than Ever

Unchecked bias in AI can have severe consequences:

• Financial bias: AI-driven credit models may inadvertently discriminate against certain demographics due to historical data biases.

• Workplace inequities: Automated hiring tools trained on past decisions can reinforce gender and racial disparities.

• Healthcare disparities: AI models that lack diverse datasets risk misdiagnosing underrepresented patient populations.

With mounting regulatory pressures from frameworks like the EU AI Act and the NIST AI Risk Management Framework, organizations must take decisive steps to ensure ethical AI adoption.

What to Expect from the Breakout Session

“Bias and Ethics in Data: Building Trust Through Transparency” will examine the origins of bias in data — from how it’s collected and processed to how it influences AI-driven decisions. This session will dive into the real-world consequences of biased data and explore its broader impact on individuals, businesses, and society.