Course Outline

Introduction to Artificial Intelligence (AI)

  • Definition and Key Concepts
  • Evolution and Types of AI
  • Application of AI in Business and Information Technology (IT)

Overview of IT Auditing for Government

  • Purpose and Scope of IT Audit
  • Key Concepts in IT Audit: Governance, Risk, and Compliance
  • Traditional IT Auditing vs. AI-Enhanced IT Auditing

AI Technologies in IT Audit

  • Machine Learning
  • Natural Language Processing (NLP)
  • Robotic Process Automation (RPA)
  • Data Analytics

Data Collection and Analysis for Government

  • Data Sources in IT Audits
  • Utilizing AI for Data Analysis
  • Predictive Analytics in IT Auditing

AI-Driven Risk Assessment

  • Identifying and Assessing Risks with AI
  • Automating Risk Assessments
  • AI Tools for Continuous Monitoring and Auditing

Implementing AI in IT Audit Processes

  • AI-Driven Audit Planning
  • Automating Audit Procedures with AI
  • Real-Time Audit Reporting and AI Dashboards

Ethical Considerations and Challenges

  • AI Bias and Fairness
  • Data Privacy and Security in AI Audits
  • Legal and Regulatory Implications

AI in Cybersecurity Auditing

  • AI for Detecting and Responding to Security Incidents
  • Auditing AI-Driven Cybersecurity Systems

AI Governance and IT Audit

  • AI in IT Governance Frameworks
  • Role of IT Auditors in AI Governance

Future Trends in AI and IT Auditing for Government

  • Emerging AI Technologies Impacting IT Audit
  • Preparing for the Future of AI in IT Auditing

Summary and Next Steps

Requirements

  • Fundamental knowledge of IT auditing principles
  • Basic understanding of artificial intelligence, machine learning, and data analytics techniques

Audience for Government

  • IT auditors in federal agencies
  • AI and data analysts working in the public sector
 14 Hours

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