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 Duration 7 hours

Course Outline

AI as a Strategic Asset in Financial Services

  • The role of AI in contemporary financial ecosystems.
  • AI capabilities for fraud detection, credit scoring, and customer insights.
  • Balancing the business value of AI against operational complexity.

Responsible AI: Ethics and Fairness in Financial Applications

  • Defining ethical AI: Core principles and industry standards.
  • Risks of bias and discrimination in algorithmic decision-making.
  • Strategies for ensuring fairness, transparency, and accountability.

Regulatory Environment for AI in Financial Services

  • Overview of global AI regulations, including the EU AI Act and US guidance.
  • Regulatory expectations regarding explainability and model validation.
  • Compliance reporting and audit readiness for AI systems.

AI Governance and Risk Management

  • Establishing internal governance frameworks for AI.
  • Defining roles and responsibilities for data owners, model risk managers, and compliance leads.
  • Managing third-party risks and ensuring vendor accountability.

AI Implementation Challenges and Success Factors

  • Strategic planning and change management for AI adoption.
  • Assessing skills, infrastructure, and cultural readiness in financial institutions.
  • Insights gained from early adopters in global finance.

Case Studies in Responsible AI for Financial Institutions

  • Fintechs utilizing AI responsibly in lending and wealth tech.
  • Traditional banks leveraging AI to modernize risk management.
  • Examining ethical missteps and their impact on public trust.

Designing an AI Roadmap with Ethics and Regulation in Mind

  • Setting AI goals that align with strategic and compliance objectives.
  • Creating a roadmap for ethical AI deployment within your institution.
  • Strategies for internal communication and stakeholder engagement.

Summary and Next Steps

Requirements

  • A solid understanding of financial services operations
  • Familiarity with fundamental digital transformation concepts
  • An interest in the strategic and ethical implications of AI

Target Audience

  • Senior leaders in the banking and finance sectors
  • Fintech managers and transformation officers
  • Compliance and governance professionals

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