Internal Auditing in AI-Driven Organizations

Course Objectives:

• Understand the role and importance of internal auditing in AI-driven organizations.
• Identify key risks and controls specific to AI technologies and data-driven processes.
• Develop an internal audit approach for assessing AI systems and related governance.
• Evaluate compliance with regulatory frameworks and ethical standards in AI usage.

Introduction to Internal Auditing in AI-Driven Organizations

• Overview of Internal Auditing
  • Principles of internal auditing in modern organizations.
  • The evolving role of auditors in AI-driven environments.
• AI in Business Operations
  • Understanding AI technologies: Machine Learning, NLP, and Automation.
  • How AI is transforming decision-making and business models.
  • Key considerations for internal auditing in AI-powered firms.

Risks and Controls in AI Systems

• AI-Specific Risks
  • Data privacy and security risks in AI systems.
  • Model biases and ethical considerations in AI.
  • Operational risks due to automation and machine learning models.
• AI Control Frameworks
  • Developing internal controls for AI systems.
  • Risk mitigation strategies: Data governance, model validation, and transparency.

Auditing AI Governance and Compliance

• AI Governance Structures
  • Roles and responsibilities in AI governance.
  • Assessing AI model oversight, accountability, and decision-making.
• Compliance and Legal Frameworks
  • Overview of GDPR, AI-specific regulations, and ethical standards.
  • Evaluating adherence to AI compliance requirements and best practices.

Conducting AI Audits and Reporting

• AI Audit Methodology
  • Planning and executing an AI audit: Key steps.
  • Tools and techniques for assessing AI systems and data workflows.
• Audit Reporting and Recommendations
  • Structuring audit reports for AI-driven organizations.
  • Communicating findings, risks, and recommendations to stakeholders.
  • Best practices for continuous monitoring and improvement.

DATE:
1ST BATCH: 17th – 20th Feb,2026
2ND BATCH: 9th – 12th June,2026

3RD BATCH: 6th – 9th Oct,2026