The program

Interaction:
Participate in poll 1: Does your organisation use Artificial Intelligence?
Participate in poll 2: What is preventing (further) AI adoption in your organisation?
Participate in poll 3: Does your organisation have an AI Ethics committee or department?
Participate in poll 4: Will artifcial intelligence turn out to be

Content
Join us for a crucial panel discussion where industry leaders converge to define the rules and guidelines for the responsible and effective use of Artificial Intelligence in banking. This panel, "The AI Stratego," will explore the regulatory, ethical, and strategic frameworks necessary for integrating AI into the banking sector.

Key Discussion Points:

• Regulatory Frameworks for AI in Banking: Analyzing the current and emerging regulations governing the use of AI in financial services. Discussions will focus on compliance, data protection laws, and international standards.
• Developing Ethical AI Guidelines: Delving into the ethical considerations of AI deployment in banking, including data privacy, transparency in AI decision-making processes, and the mitigation of algorithmic bias.
• Strategic Implementation of AI: Exploring how banks can strategically implement AI within these regulatory and ethical boundaries to enhance efficiency, customer service, and financial product innovation.
• Risk Management in AI Adoption: Discussing the importance of risk management strategies in AI adoption, addressing potential risks like model inaccuracies, operational vulnerabilities, and ethical dilemmas.
• Future-Proofing Banking with AI: Anticipating future trends and challenges in AI, and how banks can prepare and adapt their AI strategies to remain compliant and competitive in a rapidly evolving technological landscape.

This panel is essential for banking executives, policymakers, AI technology developers, and anyone involved in shaping the future of AI in banking. It offers valuable insights into the responsible and strategic use of AI, ensuring its benefits are harnessed within a clear and robust framework of rules.