Gracias por enviar su consulta! Uno de los miembros de nuestro equipo se pondrá en contacto con usted en breve.
Gracias por enviar su reserva! Uno de los miembros de nuestro equipo se pondrá en contacto con usted en breve.
Programa del Curso
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
Requerimientos
- Un entendimiento de las operaciones en servicios financieros
- Familiaridad con conceptos básicos de transformación digital
- Interés en las implicaciones estratégicas y éticas de la IA
Público objetivo
- Líderes ejecutivos en banca y finanzas
- Fintech gerentes y oficiales de transformación
- Profesionales de cumplimiento y gobernanza
7 Horas
