When humans become secondary to automation and artificial intelligence models operate as neural networks beyond our understanding, how do organizations preserve the essence that drives trust, culture and customer loyalty? As billions of UPI transactions require AI-powered fraud detection and bad actors weaponize AI faster than enterprises can defend, the question isn't whether to adopt AI - it's how to maintain human wisdom while leveraging AI.

From bias detection in financial systems to editorial oversight in AI-generated content, leaders face the challenge of building guardrails around black box technologies that may strategically lie or work unethically despite governance frameworks.

In this session, industry leaders will discuss:

• AI governance mechanisms for identifying bias in data, models and decision-making processes;
• Operating models spanning AI-plus-human, human-plus-AI and embedded AI configurations;
• Building ethical frameworks that protect against both internal risks and external threats.