Unlike some industries, responsible AI and model risk management isn’t new but generative AI has posed new, wider challenges. This panel will explore how financial institutions are deploying AI responsibly while fostering trust, mitigating risks, and maintaining competitive advantage.

-           Developing transparent AI systems to enhance fairness in credit scoring, fraud detection, and decision-making processes.

-           Aligning AI strategies with evolving financial regulations to avoid compliance pitfalls and reputational risks.

-           Implementing robust monitoring and auditing practices to identify and mitigate biases and systemic risks in real-time.

Transforming Responsible AI (RAI) principles into actionable governance frameworks is a daunting yet essential challenge for large enterprises. This session shares an in-depth journey of implementing RAI governance, highlighting practical strategies to operationalize accountability, ethics, and compliance at scale.

-           Designing governance frameworks tailored to organizational structures, ensuring clarity in roles and responsibilities.

-           Building cross-functional collaboration to embed RAI principles into workflows, decision-making, and product development.

-           Leveraging scalable tools and metrics to monitor, assess, and continuously improve AI governance practices.