Course Outline
AI as a Strategic Asset in Financial Services
- The role of AI in modern financial ecosystems.
- AI capabilities for fraud detection, credit scoring, and customer insight.
- Business value vs. operational complexity of AI adoption.
Responsible AI: Ethics and Fairness in Financial Applications
- What is ethical AI? Core principles and industry standards.
- Bias and discrimination risks in algorithmic decision-making.
- Strategies for fairness, transparency, and accountability.
Regulatory Environment for AI in Financial Services
- Overview of global AI regulations (EU AI Act, US guidance, etc.).
- Regulatory expectations for explainability and model validation.
- Compliance reporting and audit readiness for AI systems.
AI Governance and Risk Management
- Building internal governance frameworks for AI.
- Roles and responsibilities: data owners, model risk managers, compliance leads.
- Third-party risk management and vendor accountability.
AI Implementation Challenges and Success Factors
- Strategic planning and change management for AI adoption.
- Skills, infrastructure, and cultural readiness in financial institutions.
- Lessons learned from early adopters in global finance.
Case Studies in Responsible AI for Financial Institutions
- Fintechs using AI responsibly in lending and wealth tech.
- Traditional banks modernizing risk management with AI.
- Ethical missteps and public trust implications.
Designing an AI Roadmap with Ethics and Regulation in Mind
- Setting AI goals aligned with strategic and compliance objectives.
- Creating a roadmap for ethical AI deployment in your institution.
- Internal communication and stakeholder engagement strategies.
Summary and Next Steps
Requirements
- An understanding of financial services operations
- Familiarity with basic digital transformation concepts
- Interest in the strategic and ethical implications of AI
Audience
- Executive-level leaders in banking and finance
- Fintech managers and transformation officers
- Compliance and governance professionals
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 1300 € + VAT*
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Testimonials (3)
Trainers can answer all questions and accept any queries
Dewi Anggryni - PT Dentsu International Indonesia
Course - Copilot for Finance and Accounting Professionals
The background / theory of LLMs, the exercise
Joanne Wong - IPG HK Limited
Course - Applied AI for Financial Statement Analysis & Reporting
Possible applications /exercises
