Artificial Intelligence (AI) for Information Systems Assessors and Auditors

Live Virtual Training Class Via Zoom Meeting

July 14, 2026, 9:00am - 6:00pm Eastern Timezone (US)

Unlock your audit potential with our comprehensive course “Artificial Intelligence (AI) for
Information Systems Auditors”. Add to your auditing expertise with our specialized course for auditing Artificial Intelligence (AI) systems.

In this live course, auditors will acquire the essential knowledge and skills to effectively assess AI technologies and their impacts on organizational operations. From understanding AI algorithms to evaluating ethical considerations and risks, participants will emerge equipped to navigate the complexities of auditing AI with confidence.

Stay at the forefront of your industry as a trusted advisor in the area of AI auditing and
evaluation. Enroll now in Artificial Intelligence (AI) for Information Systems Assessors / Auditors.

Course materials provided: Slides (PDF)

8.0 CEU / CLE / RU certificate awarded upon completion

Who should attend this course?

Artificial Intelligence Systems Auditors, Assessors, and Evaluators

• Course objectives:
  Understanding AI Fundamentals: Gain an understanding of fundamental concepts,
  terminology, and technologies related to Artificial Intelligence (AI).
• Assessing AI Risks: Learn to identify and evaluate the risks associated with AI systems.
• Auditing AI Algorithms: Develop skills to audit AI algorithms, including assessing model
  accuracy, robustness, fairness, and transparency.
• Compliance and Ethical Considerations in AI Auditing: Explore compliance and ethical
  considerations relevant to auditing AI, including regulatory compliance, principles of
  transparency, accountability, and fairness.
• Data Governance and Management: Understand the importance of data governance and
  management in AI auditing.
• Continuous Learning and Adaptation: Cultivate a mindset of continuous learning and
  adaptation to keep pace with advancements in AI technologies and evolving audit practices.
• Understanding how ISO/IEC 42001 can integrate into AI Auditing.
• Course materials: Slides (pdf), digital handouts
• Course duration: 1 day (8 hours)
  

Course subjects:

Part 1: Artificial Intelligence
Overview of Artificial Intelligence (AI)
AI Types
Al Life Cycle
Artificial Intelligence Fundamentals
Trustworthiness of AI
AI Ecosystems
AI Knowledge and Cognition
Large Language Models (LLMs)
AI Algorithms
Machine Learning and Deep Learning
Neural Networks
Natural Language Processing (NLP)
AI and the Internet of Things (IoT)
AI and Cloud Computing

Part 2: Auditing Artificial Intelligence
Artificial Intelligence Auditor Considerations
Auditing AI vs. AI Auditing
AI Audit Types
Challenges and Solutions for AI Auditing
AI Controls and Frameworks
Integration of ISO/IEC 42001 into AI Auditing
AI Audit Flow
Audit Scope, Objectives, and Criteria
Document Reviews
AI Risk Analysis
AI Model Architecture
KPI and Performance Metrics
Stakeholder Engagement
Data Quality and Bias
AI Performance, Robustness, and Security
AI Explainability and Interpretability
Compliance and Ethical Considerations
Artificial Intelligence Auditor Tools

Course Instructor - Warren Alford

Owner / Consultant - ALS Cyber LLC

DoD Contracting, Commercial Al Testing, and Aerospace Background Al (Computer Learning / Target Acquisition Programs, System Testing)

Artificial Intelligence SME, ISMS / PIMS Assessments, Al Audits / Assessments, Incident Response Testing, Vulnerability Assessments, Penetration Testing (Logical / Physical), Risk Management, Business Continuity / Disaster Recovery Testing, Supplier Evaluations