Course Outline

Introduction to Explainable AI for Government

  • What is Explainable AI (XAI)?
  • Importance of transparency in AI models for government operations
  • Key challenges in AI interpretability within the public sector

Basic XAI Techniques for Government

  • Model-agnostic methods: LIME, SHAP
  • Model-specific explainability methods applicable to government workflows
  • Explaining decisions made by black-box models in public sector applications

Hands-On with XAI Tools for Government

  • Introduction to open-source XAI libraries suitable for government use
  • Implementing XAI in simple machine learning models for government projects
  • Visualizing explanations and model behavior to enhance transparency in public sector initiatives

Challenges in Explainability for Government

  • Accuracy vs interpretability trade-offs in government AI systems
  • Limitations of current XAI methods within the context of government operations
  • Handling bias and fairness in explainable models for government applications

Ethical Considerations in XAI for Government

  • Understanding the ethical implications of AI transparency in government services
  • Balancing explainability with model performance in public sector projects
  • Privacy and data protection concerns in XAI within government systems

Real-World Applications of XAI for Government

  • XAI in healthcare, finance, and law enforcement within the public sector
  • Regulatory requirements for explainability in government AI initiatives
  • Building trust in AI systems through transparency in government services

Advanced XAI Concepts for Government

  • Exploring counterfactual explanations in government contexts
  • Explaining neural networks and deep learning models used by government agencies
  • Interpreting complex AI systems in public sector applications

Future Trends in Explainable AI for Government

  • Emerging techniques in XAI research relevant to the public sector
  • Challenges and opportunities for future AI transparency in government operations
  • Impact of XAI on responsible AI development within government agencies

Summary and Next Steps for Government

Requirements

  • Fundamental knowledge of machine learning principles
  • Proficiency in Python programming

Audience

  • Individuals new to artificial intelligence
  • Enthusiasts in the field of data science for government
 14 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

Introduction to Explainable AI (XAI) for Beginners

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Introduction to Explainable AI (XAI) for Beginners

2026-03-03 09:30
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$ 2703 (Online)
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