As AI reshapes industries at an unprecedented pace, understanding how Responsible AI practices in enterprise have evolved is crucial. This opening panel explores the recent history of Responsible AI, unpacking key milestones, challenges, and opportunities that have defined its journey. Gain actionable insights to align your organization with the principles of ethical AI development and deployment.

-           Examining pivotal moments shaping the Responsible AI landscape and their implications for today’s enterprises.

-           Understanding how to embed ethical considerations into AI systems while balancing innovation and accountability.

-           Learning strategies to future-proof AI initiatives by addressing transparency, fairness, and stakeholder trust.

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.