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Course Outline
Introduction to Advanced Explainable Artificial Intelligence (XAI) Techniques for Government
- Overview of fundamental XAI methods
- Challenges in interpreting sophisticated AI models
- Current trends in XAI research and development
Model-Agnostic Explainability Techniques for Government
- SHAP (SHapley Additive exPlanations)
- LIME (Local Interpretable Model-agnostic Explanations)
- Anchor explanations
Model-Specific Explainability Techniques for Government
- Layer-wise relevance propagation (LRP)
- DeepLIFT (Deep Learning Important FeaTures)
- Gradient-based methods (Grad-CAM, Integrated Gradients)
Explaining Deep Learning Models for Government
- Interpreting convolutional neural networks (CNNs)
- Explaining recurrent neural networks (RNNs)
- Analyzing transformer-based models (BERT, GPT)
Addressing Interpretability Challenges for Government
- Overcoming black-box model limitations
- Balancing accuracy and interpretability in government systems
- Managing bias and fairness in AI explanations for government use
Applications of XAI in Real-World Government Systems
- XAI in healthcare, finance, and legal systems for government operations
- Compliance with AI regulation and standards for government agencies
- Enhancing trust and accountability through XAI in public sector workflows
Future Trends in Explainable AI for Government
- Emerging techniques and tools in XAI for government applications
- Next-generation explainability models for government use
- Opportunities and challenges in achieving AI transparency for government
Summary and Next Steps for Government
Requirements
- A solid understanding of artificial intelligence and machine learning principles for government applications
- Practical experience with neural networks and deep learning methodologies for government projects
- Familiarity with fundamental explainable AI (XAI) techniques to enhance transparency and accountability in government systems
Audience
- Experienced AI researchers for government agencies
- Machine learning engineers working on government initiatives
21 Hours
