This program provides a structured overview of auditing AI systems, algorithms, and data-driven decision-making processes. Participants will learn to evaluate AI models, detect bias, assess algorithmic performance, and ensure compliance with ethical, regulatory, and governance standards. The course also explores risk management, AI governance frameworks, transparency, accountability, and audit documentation for AI systems. It is designed for auditors, compliance officers, and risk professionals who want to understand how to audit AI and algorithmic decision-making responsibly.
Upon completion of this course, participants will be able to:
This course is designed for internal auditors, risk managers, compliance officers, IT auditors, data governance professionals, and professionals involved in AI governance and audit.
Registration
Welcome & Introduction
Pre-Test
Day 1: Foundations of AI and Algorithm Auditing
Day 2: Auditing AI Models and Data
Post Test
End of the Course
Facilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage.
Percentages of the total course hour classification are:
At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.