Course Description

Synopsis:

AI’s potential is immense, but its risks demand proactive governance, transparency, and cross-border regulatory alignment. By learning from past missteps and adopting good practices, organisations can leverage AI responsibly.

This course explores the ethical, security, and regulatory challenges posed by AI in finance and other industries. It highlights key risks, such as bias, privacy violations, transparency gaps and security threats, while offering practical solutions and regulatory insights.

Key areas covered:

• Ethical Risks & Illustrations:
  • Bias, privacy, and transparency 
• Security Threats:
  • Data poisoning, adversarial attacks, and deepfake misuse
• Regulatory Complexity:
  • Fragmented laws (EU’s AI Act, GDPR, CCPA) complicate global compliance
• Solutions & Best Practices:
  • Governance: Implement AI ethics boards
  • Bias Mitigation: Use diverse datasets and fairness audits
  • Security: Adopt encryption, differential privacy, and robust access controls
  • Compliance: Align with frameworks like GDPR (EU), NIST (US), and Singapore’s Model AI Governance

Intended For:

• Audit Professionals / PAIP 
• Finance Professionals  / PAIB 
• Public Sector Finance
• C-suite & Directors
• Business Owners

Competency Mapping: 

• CPE Category 2 = 1.0 Hour