Natural Language Processing (NLP)

  1. Ethics and Responsible AI
    1. Bias and Fairness
      1. Types of Bias
        1. Historical Bias
          1. Representation Bias
            1. Measurement Bias
              1. Evaluation Bias
              2. Bias Detection Methods
                1. Statistical Parity
                  1. Equalized Odds
                    1. Demographic Parity
                    2. Bias Mitigation
                      1. Pre-processing Methods
                        1. In-processing Methods
                          1. Post-processing Methods
                        2. Privacy and Security
                          1. Data Privacy
                            1. Anonymization Techniques
                              1. Differential Privacy
                                1. Federated Learning
                                2. Model Security
                                  1. Adversarial Attacks
                                    1. Model Inversion
                                      1. Membership Inference
                                      2. Secure Deployment
                                        1. Access Control
                                          1. Audit Trails
                                            1. Monitoring Systems
                                          2. Transparency and Interpretability
                                            1. Model Explainability
                                              1. Feature Importance
                                                1. Attention Visualization
                                                  1. Gradient-Based Methods
                                                  2. Interpretable Models
                                                    1. Rule-Based Systems
                                                      1. Linear Models
                                                        1. Decision Trees
                                                        2. Documentation and Reporting
                                                          1. Model Cards
                                                            1. Dataset Documentation
                                                              1. Ethical Impact Assessments
                                                            2. Environmental Impact
                                                              1. Energy Consumption
                                                                1. Training Costs
                                                                  1. Inference Costs
                                                                    1. Hardware Efficiency
                                                                    2. Carbon Footprint
                                                                      1. Measurement Methods
                                                                        1. Reduction Strategies
                                                                          1. Green AI Practices
                                                                          2. Model Efficiency
                                                                            1. Compression Techniques
                                                                              1. Pruning Methods
                                                                                1. Quantization
                                                                              2. Societal Impact
                                                                                1. Misinformation and Manipulation
                                                                                  1. Job Displacement
                                                                                    1. Digital Divide
                                                                                      1. Regulatory Considerations

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                                                                                    14. Evaluation and Benchmarking

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                                                                                    1. Introduction to Natural Language Processing