Compliance and Ethics Auditing in the Age of AI and FinTech

Course Objectives:

• Understand the role and importance of compliance and ethics in modern AI and FinTech landscapes.
• Analyze the key regulatory frameworks that affect AI, FinTech, and auditing practices.
• Explore ethical challenges posed by AI and FinTech and how to address them through auditing.
• Develop practical strategies for conducting compliance and ethics audits in AI-driven and FinTech environments.

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.

DATE:
1ST BATCH: 10 – 13th Feb,2026
2ND BATCH: 2nd – 5th May,2026

3RD BATCH: 28th – 30th Sept,2026