Get in Touch

Course Outline

AI as a Strategic Asset in Financial Services

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

Responsible AI: Ethics and Fairness in Financial Applications

  • Defining ethical AI: Core principles and prevailing industry standards.
  • Addressing bias and discrimination risks in algorithmic decision-making processes.
  • Strategies to ensure fairness, transparency, and accountability.

Regulatory Environment for AI in Financial Services

  • An overview of global AI regulations, including the EU AI Act and US guidance.
  • Regulatory expectations regarding explainability and model validation.
  • Preparing for compliance reporting and audits of AI systems.

AI Governance and Risk Management

  • Establishing internal governance frameworks specifically 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 essential for successful AI adoption.
  • Assessing skills, infrastructure, and cultural readiness within financial institutions.
  • Insights gained from early adopters in the global finance sector.

Case Studies in Responsible AI for Financial Institutions

  • Fintechs implementing AI responsibly in lending and wealth technology.
  • Traditional banks modernizing their risk management functions using AI.
  • 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 broader strategic and compliance objectives.
  • Formulating a roadmap for the ethical deployment of AI within your institution.
  • Strategies for internal communication and engaging stakeholders effectively.

Summary and Next Steps

Requirements

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

Target Audience

  • Executive-level leaders in banking and finance
  • Fintech managers and transformation officers
  • Compliance and governance professionals
 7 Hours

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories