Data Science

  1. Ethics and Responsible AI
    1. Ethical Foundations
      1. Moral Philosophy in AI
        1. Consequentialism
          1. Deontological Ethics
            1. Virtue Ethics
            2. Stakeholder Analysis
              1. Primary Stakeholders
                1. Secondary Stakeholders
                  1. Affected Communities
                  2. Ethical Frameworks
                    1. IEEE Standards
                      1. ACM Code of Ethics
                        1. Partnership on AI Principles
                      2. Bias and Fairness
                        1. Types of Bias
                          1. Historical Bias
                            1. Representation Bias
                              1. Measurement Bias
                                1. Aggregation Bias
                                  1. Evaluation Bias
                                    1. Deployment Bias
                                    2. Fairness Definitions
                                      1. Individual Fairness
                                        1. Group Fairness
                                          1. Demographic Parity
                                            1. Equalized Odds
                                              1. Calibration
                                              2. Bias Detection
                                                1. Statistical Parity
                                                  1. Disparate Impact
                                                    1. Equalized Opportunity
                                                      1. Predictive Parity
                                                      2. Bias Mitigation
                                                        1. Pre-processing Methods
                                                          1. In-processing Methods
                                                            1. Post-processing Methods
                                                              1. Algorithmic Auditing
                                                            2. Privacy and Security
                                                              1. Privacy Concepts
                                                                1. Personal Identifiable Information
                                                                  1. Sensitive Attributes
                                                                    1. Privacy Rights
                                                                    2. Privacy-Preserving Techniques
                                                                      1. Data Anonymization
                                                                        1. K-anonymity
                                                                          1. L-diversity
                                                                            1. T-closeness
                                                                              1. Differential Privacy
                                                                              2. Federated Learning
                                                                                1. Decentralized Training
                                                                                  1. Privacy Benefits
                                                                                    1. Technical Challenges
                                                                                    2. Security Considerations
                                                                                      1. Adversarial Attacks
                                                                                        1. Model Inversion
                                                                                          1. Membership Inference
                                                                                            1. Data Poisoning
                                                                                          2. Transparency and Explainability
                                                                                            1. Interpretability vs Explainability
                                                                                              1. Model Interpretability
                                                                                                1. Inherently Interpretable Models
                                                                                                  1. Linear Models
                                                                                                    1. Decision Trees
                                                                                                      1. Rule-based Systems
                                                                                                      2. Post-hoc Explanation Methods
                                                                                                        1. LIME
                                                                                                          1. SHAP
                                                                                                            1. Permutation Importance
                                                                                                              1. Anchors
                                                                                                              2. Global vs Local Explanations
                                                                                                                1. Explanation Evaluation
                                                                                                                  1. Fidelity
                                                                                                                    1. Stability
                                                                                                                      1. Comprehensibility
                                                                                                                    2. Accountability and Governance
                                                                                                                      1. Algorithmic Accountability
                                                                                                                        1. Responsibility Assignment
                                                                                                                          1. Audit Trails
                                                                                                                            1. Documentation Requirements
                                                                                                                            2. Governance Frameworks
                                                                                                                              1. AI Ethics Committees
                                                                                                                                1. Review Processes
                                                                                                                                  1. Risk Assessment
                                                                                                                                  2. Regulatory Landscape
                                                                                                                                    1. GDPR Right to Explanation
                                                                                                                                      1. Algorithmic Accountability Act
                                                                                                                                        1. AI Regulation Proposals
                                                                                                                                        2. Professional Responsibility
                                                                                                                                          1. Data Scientist Ethics
                                                                                                                                            1. Whistleblowing
                                                                                                                                              1. Continuing Education
                                                                                                                                            2. Social Impact
                                                                                                                                              1. Automation and Employment
                                                                                                                                                1. Job Displacement
                                                                                                                                                  1. Skill Requirements
                                                                                                                                                    1. Economic Inequality
                                                                                                                                                    2. Algorithmic Decision Making
                                                                                                                                                      1. Criminal Justice
                                                                                                                                                        1. Healthcare
                                                                                                                                                          1. Education
                                                                                                                                                            1. Financial Services
                                                                                                                                                            2. Digital Divide
                                                                                                                                                              1. Access to Technology
                                                                                                                                                                1. Data Representation
                                                                                                                                                                  1. Algorithmic Inclusion
                                                                                                                                                                  2. Environmental Impact
                                                                                                                                                                    1. Energy Consumption
                                                                                                                                                                      1. Carbon Footprint
                                                                                                                                                                        1. Sustainable AI Practices

                                                                                                                                                                    Previous

                                                                                                                                                                    11. Model Deployment and MLOps

                                                                                                                                                                    Go to top

                                                                                                                                                                    Back to Start

                                                                                                                                                                    1. Foundations of Data Science