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دسته بندی دوره ها

Fundamentals of Responsible Artificial Intelligence/ML

سرفصل های دوره

Designing and mantaining AI/ML models that help data subjects, are explainable, are not biased, and are compliant.


1 - Introduction
  • 1 - 01-Course-Intro.pdf
  • 1 - Course Intro
  • 1 - -All-Slides-Fundamentals-of-Responsible-AI-and-ML.pdf

  • 2 - Fundamentals
  • 2 - 02-Fundamentals-01-Intro.pdf
  • 2 - Module Intro
  • 3 - 02-Fundamentals-02-Responsible-AI-ML-Considerations.pdf
  • 3 - Responsible AIML Considerations
  • 4 - 02-Fundamentals-03-Usual-Model-Characteristics-01-Intro.pdf
  • 4 - Usual Model Characteristics Intro
  • 5 - 02-Fundamentals-03-Usual-Model-Characteristics-02-Classification-and-Regression.pdf
  • 5 - Usual Model Characteristics Classification and Regression
  • 6 - 02-Fundamentals-03-Usual-Model-Characteristics-03-Specificity-vs.Sensitivity.pdf
  • 6 - Usual Model Characteristics Specificity vs Sensitivity
  • 7 - 02-Fundamentals-03-Usual-Model-Characteristics-04-Accuracy-vs.Explainability.pdf
  • 7 - Usual Model Characteristics Accuracy vs Explainability
  • 8 - 02-Fundamentals-04-Outro.pdf
  • 8 - Module Outro

  • 3 - Responsible Data and Models
  • 9 - 03-Responsible-Data-Models-01-Intro.pdf
  • 9 - Module Intro
  • 10 - 03-Responsible-Data-Models-02-Model-Feature-Issues-01-Intro.pdf
  • 10 - Model Feature Issues Intro
  • 11 - 03-Responsible-Data-Models-02-Model-Feature-Issues-02-Reduced-Features.pdf
  • 11 - Model Feature Issues Reduced Features
  • 12 - 03-Responsible-Data-Models-02-Model-Feature-Issues-03-Historical-Focus.pdf
  • 12 - Model Feature Issues Historical Focus
  • 13 - 03-Responsible-Data-Models-02-Model-Feature-Issues-04-Proxies.pdf
  • 13 - Model Feature Issues Proxies
  • 14 - 03-Responsible-Data-Models-02-Model-Feature-Issues-05-Defaulting.pdf
  • 14 - Model Feature Issues Defaulting
  • 15 - 03-Responsible-Data-Models-02-Model-Feature-Issues-06-Overloaded-Correlated-Features.pdf
  • 15 - Model Feature Issues OverloadedCorrelated Features
  • 16 - 03-Responsible-Data-Models-02-Model-Feature-Issues-07-Overefficiency.pdf
  • 16 - Model Feature Issues Overefficiency
  • 17 - 03-Responsible-Data-Models-02-Model-Feature-Issues-08-Feedback-Loops.pdf
  • 17 - Model Feature Issues Feedback Loops
  • 18 - 03-Responsible-Data-Models-03-Model-Issues-01-Intro.pdf
  • 18 - Model Issues Intro
  • 19 - 03-Responsible-Data-Models-03-Model-Issues-02-Adversarial-Sensitivity.pdf
  • 19 - Model Issues Adversarial Sensitivity
  • 20 - 03-Responsible-Data-Models-03-Model-Issues-03-Overfitting.pdf
  • 20 - Model Issues Overfitting
  • 21 - 03-Responsible-Data-Models-04-Data-Issues-01-Intro.pdf
  • 21 - Data Issues Intro
  • 22 - 03-Responsible-Data-Models-04-Data-Issues-02-Biased-Data.pdf
  • 22 - Data Issues Biased Data
  • 23 - 03-Responsible-Data-Models-04-Data-Issues-03-Data-Drift.pdf
  • 23 - Data Issues Data Drift
  • 24 - 03-Responsible-Data-Models-05-Data-Centric-Approaches-01-Intro.pdf
  • 24 - DataCentric Approaches Intro
  • 25 - 03-Responsible-Data-Models-05-Data-Centric-Approaches-02-Data-Quantity-Dilemmas.pdf
  • 25 - DataCentric Approaches Data Quantity Dilemmas
  • 26 - 03-Responsible-Data-Models-05-Data-Centric-Approaches-03-Dataset-Hygiene.pdf
  • 26 - DataCentric Approaches Dataset Hygiene
  • 27 - 03-Responsible-Data-Models-05-Data-Centric-Approaches-04-Diversity-and-Debiasing.pdf
  • 27 - DataCentric Approaches Diversity and Debiasing
  • 28 - DataCentric Approaches Data Profiling
  • 28 - External-Data-Profiling.pdf
  • 29 - DataCentric Approaches Ethical Data Dimensions
  • 29 - External-Ethical-Data-Dimensions.pdf
  • 30 - DataCentric Approaches Data Usage PurposeAuthority
  • 30 - External-Data-Usage-Purpose-Authority.pdf
  • 31 - 03-Responsible-Data-Models-06-Model-Centric-Approaches-01-Intro.pdf
  • 31 - ModelCentric Approaches Intro
  • 32 - 03-Responsible-Data-Models-06-Model-Centric-Approaches-Human-Overrides.pdf
  • 32 - ModelCentric Approaches Human Override
  • 33 - 03-Responsible-Data-Models-06-Model-Centric-Approaches-Inference-Decisions.pdf
  • 33 - ModelCentric Approaches Inference Decisions
  • 34 - 03-Responsible-Data-Models-06-Model-Centric-Approaches-Specialist-Validation.pdf
  • 34 - ModelCentric Approaches Specialist Validation
  • 35 - 03-Responsible-Data-Models-06-Model-Centric-Approaches-Subpopulation-Considerations.pdf
  • 35 - ModelCentric Approaches Subpopulation Considerations
  • 36 - 03-Responsible-Data-Models-07-Outro.pdf
  • 36 - Module Outro

  • 4 - Transparency and Explainability
  • 37 - 04-Transparency-Explainability-01-Intro.pdf
  • 37 - Module Intro
  • 38 - 04-Transparency-Explainability-02-Explainability-Basics.pdf
  • 38 - Explainability Basics
  • 39 - 04-Transparency-Explainability-03-Explanation-Elements.pdf
  • 39 - Explanation Elements
  • 40 - 04-Transparency-Explainability-04-Explanation-Recipients.pdf
  • 40 - Explanation Recipients
  • 41 - 04-Transparency-Explainability-05-Transparency-Challenges.pdf
  • 41 - Transparency Challenges
  • 42 - 04-Transparency-Explainability-06-XAI-Method-Overview.pdf
  • 42 - XAI Method Overview
  • 43 - 04-Transparency-Explainability-07-XAI-Common-Elements.pdf
  • 43 - XAI Common Elements
  • 44 - 04-Transparency-Explainability-08-Popular-XAI-Frameworks-01-Intro.pdf
  • 44 - Popular Frameworks Intro
  • 45 - 04-Transparency-Explainability-08-Popular-XAI-Frameworks-02-LIME.pdf
  • 45 - Popular Frameworks LIME
  • 46 - 04-Transparency-Explainability-08-Popular-XAI-Frameworks-03-SHAP.pdf
  • 46 - Popular Frameworks SHAP
  • 47 - 04-Transparency-Explainability-08-Popular-XAI-Frameworks-04-TCAV.pdf
  • 47 - Popular Frameworks TCAV
  • 48 - 04-Transparency-Explainability-09-Outro.pdf
  • 48 - Module Outro

  • 5 - Ethics and Ethical Risks
  • 49 - 05-Ethics-and-Ethical-Risks-01-Intro.pdf
  • 49 - Module Intro
  • 50 - 05-Ethics-and-Ethical-Risks-02-Product-Considerations-01-Intro.pdf
  • 50 - Product Considerations Intro
  • 51 - 05-Ethics-and-Ethical-Risks-02-Product-Considerations-02-Consent.pdf
  • 51 - Product Considerations Consent
  • 52 - 05-Ethics-and-Ethical-Risks-02-Product-Considerations-03-Levels-of-Recordkeeping.pdf
  • 52 - Product Considerations Levels of Recordkeeping
  • 53 - 05-Ethics-and-Ethical-Risks-02-Product-Considerations-04-Ethical-Risk-Assessment.pdf
  • 53 - Product Considerations Ethical Risk Assessment
  • 54 - 05-Ethics-and-Ethical-Risks-03-Management-Considerations-01-Intro.pdf
  • 54 - Management Considerations Intro
  • 55 - 05-Ethics-and-Ethical-Risks-03-Management-Considerations-02-Ethical-Alignment.pdf
  • 55 - Management Considerations Ethical Alignment
  • 56 - 05-Ethics-and-Ethical-Risks-03-Management-Considerations-03-Ethical-Governance.pdf
  • 56 - Management Considerations Ethical Governance
  • 57 - External-The-Compliance-Approach.pdf
  • 57 - Management Considerations The Compliance Approach
  • 58 - 05-Ethics-and-Ethical-Risks-03-Management-Considerations-04-Enforcement-and-Accountability.pdf
  • 58 - Management Considerations Enforcement and Accountability
  • 59 - 05-Ethics-and-Ethical-Risks-03-Management-Considerations-05-Three-Levels-of-Oversight.pdf
  • 59 - Management Considerations Three Levels of Oversight
  • 60 - 05-Ethics-and-Ethical-Risks-04-Relevant-Regulation-01-Intro.pdf
  • 60 - Relevant Regulation Intro
  • 61 - 05-Ethics-and-Ethical-Risks-04-Relevant-Regulation-02-GDPR.pdf
  • 61 - Relevant Regulation GDPR
  • 62 - 05-Ethics-and-Ethical-Risks-04-Relevant-Regulation-03-CCPA.pdf
  • 62 - Relevant Regulation CCPA
  • 63 - 05-Ethics-and-Ethical-Risks-04-Relevant-Regulation-04-Fairness-in-Finance.pdf
  • 63 - Relevant Regulation Fairness in Finance
  • 64 - 05-Ethics-and-Ethical-Risks-05-Societal-Considerations.pdf
  • 64 - Societal Considerations
  • 65 - 05-Ethics-and-Ethical-Risks-06-Outro.pdf
  • 65 - Module Outro

  • 6 - Outro
  • 66 - 06-Course-Outro.pdf
  • 66 - Course Outro
  • 66 - -All-Slides-Fundamentals-of-Responsible-AI-and-ML.pdf
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