Course Outline

Understanding Artificial Intelligence and Machine Learning for Government

  • What is AI and how is it defined?
  • Machine Learning as a subset of AI
  • Types of AI: weak, strong, generative, supervised, unsupervised

Application of AI in Government Operations

  • Current integration of AI/ML across various functions
  • Automation, decision support, customer service, and analytics for government
  • Use cases in human resources, finance, operations, and compliance for government

Common Governance Challenges for Government

  • Conflicts with Data Protection Principles
  • Ensuring lawfulness, fairness, and transparency in automated decision-making for government
  • Accuracy, data minimization, and storage limitations for government

Foundations in Information and Data Management for Government

  • Information and records management in AI contexts for government
  • The importance of metadata and audit trails for government
  • Maintaining data quality and integrity for training datasets for government

Addressing Information Governance Challenges for Government

  • Designing governance controls for AI/ML pipelines for government
  • Human oversight and explainability in AI/ML systems for government
  • Building cross-functional governance teams for government

Conducting DPIAs for AI/ML in Government

  • Legal requirements and purpose of DPIAs for government
  • Steps to assess proposed AI/ML implementations for government
  • Documenting risk assessments, mitigations, and justifications for government

Governance Frameworks and Risk Management for Government

  • Overview of AI-specific governance frameworks for government
  • ISO, NIST, ICO, and OECD approaches for government
  • Risk registers and policy documentation for government

Culture, Integration, and Related Frameworks for Government

  • Embedding a culture of responsible AI use for government
  • Linking AI governance with cybersecurity, ethics, and ESG policies for government
  • Continuous improvement and monitoring for government

Summary and Next Steps for Government

Requirements

  • An understanding of organizational information governance policies for government
  • Familiarity with data protection or privacy regulations
  • Some exposure to AI or machine learning concepts is beneficial

Audience

  • Information governance professionals
  • Data protection officers and compliance managers
  • Digital transformation or IT governance leads
 7 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Upcoming Courses

Artificial Intelligence and Machine Learning: How to Implement Good Information Governance

2026-02-05 09:30
7 hours
New Orleans, LA - Regus - Place St. Charles
$ 1630 (Online)
$ 2230 (Classroom)

Artificial Intelligence and Machine Learning: How to Implement Good Information Governance

2026-02-19 09:30
7 hours
Flowood, MS – Regus at Market Street
$ 1630 (Online)
$ 2230 (Classroom)

Artificial Intelligence and Machine Learning: How to Implement Good Information Governance

2026-03-05 09:30
7 hours
Reno, NV – Regus - Downtown
$ 1630 (Online)
$ 2230 (Classroom)

Artificial Intelligence and Machine Learning: How to Implement Good Information Governance

2026-03-19 09:30
7 hours
Nashua, NH – Regus at One Tara Boulevard
$ 1630 (Online)
$ 2230 (Classroom)

Artificial Intelligence and Machine Learning: How to Implement Good Information Governance

2026-04-02 09:30
7 hours
Portland, OR
$ 1630 (Online)
$ 2230 (Classroom)

Artificial Intelligence and Machine Learning: How to Implement Good Information Governance

2026-04-16 09:30
7 hours
Providence, RI – Regus at Westminster Square
$ 1630 (Online)
$ 2230 (Classroom)

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