Course Outline

Introduction to Explainable AI and Ethics for Government

  • The importance of explainability in AI systems for government
  • Challenges in AI ethics and fairness within the public sector
  • Overview of regulatory and ethical standards applicable to government operations

XAI Techniques for Ethical AI in Government

  • Model-agnostic methods: LIME, SHAP
  • Bias detection techniques in AI models used by government agencies
  • Strategies for handling interpretability in complex AI systems within the public sector

Transparency and Accountability in Government AI

  • Designing transparent AI systems for government use
  • Ensuring accountability in AI decision-making processes for government operations
  • Auditing AI systems for fairness in public sector applications

Fairness and Bias Mitigation in Government AI

  • Detecting and addressing bias in AI models used by government agencies
  • Ensuring fairness across different demographic groups in government services
  • Implementing ethical guidelines in AI development for government projects

Regulatory and Ethical Frameworks for Government AI

  • Overview of AI ethics standards relevant to government operations
  • Understanding AI regulations in various government sectors
  • Aligning AI systems with GDPR, CCPA, and other frameworks applicable to government

Real-World Applications of XAI in Ethical AI for Government

  • Explainability in healthcare AI for government programs
  • Building transparent AI systems in financial regulation and management by government agencies
  • Deploying ethical AI in law enforcement and public safety initiatives

Future Trends in XAI and Ethical AI for Government

  • Emerging trends in explainability research for government applications
  • New techniques for fairness and bias detection in government AI systems
  • Opportunities for ethical AI development in the future for government operations

Summary and Next Steps for Government

Requirements

  • Fundamental understanding of machine learning models for government applications
  • Familiarity with artificial intelligence development and frameworks for government use
  • Interest in AI ethics and transparency in public sector operations

Audience

  • AI ethicists
  • AI developers
  • Data scientists
 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

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