Compliance and Ethics Auditing in the Age of AI and FinTech

Introduction to Compliance and Ethics in AI & FinTech

• Overview of AI and FinTech industries: Definitions, scope, and global impact.
• Importance of compliance and ethics: Why these areas are critical in AI and FinTech businesses.
• Key regulatory bodies: Understanding the role of global and regional regulators (e.g., GDPR, SEC, FCA).
• Ethical considerations in AI and FinTech: Privacy, bias, fairness, transparency, accountability.

Regulatory Frameworks and Standards for AI and FinTech

• Global and regional regulations: Focus on GDPR, CCPA, MiFID II, and the role of national regulations.
• AI and data privacy laws: Navigating the evolving regulatory landscape for AI-driven technologies.
• Compliance challenges for FinTech companies: Anti-money laundering (AML), Know Your Customer (KYC), and data protection.
• Industry-specific standards: ISO, SOC 2, PCI-DSS, and their relevance to compliance audits.

Ethical Challenges in AI and FinTech

• Bias and discrimination in AI: Detecting and mitigating algorithmic bias.
• Transparency and accountability: Ensuring that AI systems can be audited and their decisions explained.
• Consumer protection: Safeguarding users from unethical AI practices, financial fraud, and deceptive fintech models.
• Sustainability and ethics in FinTech: Environmental and social impact of financial technologies.

Conducting Compliance and Ethics Audits in the Age of AI and FinTech

• Audit methodologies: Tools and approaches for auditing AI systems and FinTech operations.
• Risk-based auditing: Identifying and assessing compliance risks in AI and FinTech environments.
• Audit reports and recommendations: Structuring audit outcomes and action plans.
• Case studies: Real-life examples of compliance and ethics failures in AI and FinTech sectors.

1ST BATCH: Tuesday, February 10, 2026 — Friday, February 13, 2026.

2ND BATCH: Tuesday, June 2, 2026 — Friday, June 5, 2026.

3RD BATCH: Monday, September 28, 2026 — Wednesday, September 30, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.