Introduction
Participating in the ISACA Advanced in AI Audit (AAIA) course was a valuable opportunity to deepen my understanding of AI ethics, governance, and auditing practices. This reflection highlights the main focus areas of the course and the key benefits I gained from it.
Main Focus Areas
- Data Quality and Analytics
- Emphasized ensuring data accuracy, completeness, and minimizing bias.
- Introduced practical tools for detecting data issues and ensuring analytics reliability.
- Ethical and Legal Considerations
- Focused on the auditor’s role in addressing ethical risks such as bias, discrimination, and data misuse.
- Covered critical privacy issues, like data minimization and consent management.
- AI Governance and Risk Management
- Stressed the importance of clear policies, roles, and responsibilities in AI development.
- Provided frameworks for risk assessment, documentation, and audit trail creation.
- Operational Excellence and Performance
- Taught performance metrics including accuracy, recall, precision, and F1 score.
- Explained how to choose appropriate metrics for different business contexts and monitor AI systems post-deployment.
- AI Technologies in Audit Practice
- Explored emerging audit tools, like LIME and SHAP for model interpretability.
- Discussed the application of NLP and computer vision within auditing processes.
What I Learned and Benefited
- The course helped me prioritize ethics first in every AI audit, followed by legal compliance and technical considerations.
- I now have practical skills for identifying and mitigating bias in AI systems.
- I understand the importance of continuous monitoring and updating AI audits, not just one-time checks.
- My ability to use explainability tools has improved, allowing me to ensure transparency and accountability in AI processes.
- The principles and practices I learned directly support my journey as a responsible AI auditor, strengthening both my certification preparation and real-world practice.
Conclusion
Overall, my experience with the AAIA course expanded my skills in auditing AI technologies. The emphasis on ethics, governance, and continuous monitoring has prepared me to contribute more confidently to responsible and transparent AI oversight in my professional role.
