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Global MOOC on the Ethics of AI · LearnSpace
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Global MOOC on the Ethics of AI

Курс от UNESCO
Средний≈ 13.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

AI is reshaping how the world works, and those who understand its ethical dimensions are better positioned to lead, design, and govern it in a way that helps everyone. This course, developed by UNESCO, in partnership with LG AI Research, gives you a comprehensive and practical foundation in AI ethics, built for professionals with basic knowledge of AI, who want to learn to make a real difference in how AI is created and used every day, and develop a foresight into embedding ethics in AI products and services. Across 10 modules, you will explore the full spectrum of AI ethics from the ‘why’ and ‘what’ of ethics, to how to operationalize the ethical AI principles, fairness, privacy, transparency, sustainability, proportionality, and meaningful work. Each module combines conceptual frameworks with real world and relatable examples, and simple tools and frameworks to immediately apply what you learn to your own professional context. What makes this course unique is its breadth and actionability. Drawing on UNESCO's Recommendation on the Ethics of AI, you'll move from understanding ethical principles to evaluating real-world trade-offs, values, and choices, and ultimately designing ethical, human-centered responses across the AI lifecycle using tools and frameworks. This is relevant, whether you work in technology, policy, law, research, or organizational leadership.

Навыки, которые вы освоите

GovernanceData GovernanceData EthicsEthical Standards And ConductData SecurityInformation PrivacyGovernance Risk Management and ComplianceHuman Centered DesignArtificial IntelligenceGenerative AI AgentsMachine Learning AlgorithmsGeneral Data Protection Regulation (GDPR)Generative AIRegulation and Legal ComplianceAI literacyRiskingArtificial Intelligence and Machine Learning (AI/ML)Environmental Social And Corporate Governance (ESG)Interaction DesignSustainability Reporting

Программа курса

10 модулей · 65 учебных материалов

01Module 1: Foundations of AI Ethics6 материалов

Welcome to the Course

Introduction to the CourseВидео

Module 1: Foundations of AI Ethics

Video 1: Why does ethics matter in AI?ВидеоVideo 2: What do we mean by ethics?ВидеоVideo 3: Ethics by Design and Ethics in UseВидео

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UNESCO - LG AI Research

Преподаватель курса

Global MOOC on the Ethics of AI
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Обучение на Coursera

≈ 13.4 ч

10 модулей

Язык: Английский

Субтитры: Арабский, Французский, Китайский (Китай), Итальянский, Бразильский португальский, Корейский, Немецкий, Русский, Индонезийский, Испанский, Хинди

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Module 1: GlossaryЧтение
Module 1: Reading MaterialsЧтение
02Module 2: Human-AI Interaction6 материалов

Lesson 1. Introducing Human-AI Interaction in Everyday Life: The Amina Health App Case Study

Video 1: Introducing Human-AI Interaction in Everyday Life: The Amina Health App Case StudyВидеоVideo 2: Humanization as a design imperative - design for flourishingВидеоVideo 3: Best Practices & Tools for Ethical Human-AI InteractionВидеоModule 2: GlossaryЧтениеModule 2: Reading MaterialsЧтениеEnd-of-Module Exercise: Auto-Scheduling in Maternal Health AIDIALOGUE
03Module 3: Safety & Security7 материалов

Lesson 1. Introducing Safety & Security in AI & Everyday Dimensions

Video 1: Introducing Safety & Security in AI & Everyday DimensionsВидеоVideo 2: Case Study: The Uber Autonomous Vehicle FatalityВидеоVideo 3: Testing & Evaluation Frameworks for AI Safety and SecurityВидеоVideo 4: Best Practices and Tools for Operationalising Safety & Security in AIВидеоModule 3: GlossaryЧтениеModule 3: Reading MaterialsЧтениеEnd-of-Module Exercise: SafeCity AIDIALOGUE
04Module 4: Fairness, Non-Discrimination & Inclusion in AI7 материалов

Lesson 4. Best Practices & Tools for Operationalising Fairness, Non-Discrimination & Inclusion in AI

Video 1: Introducing Fairness, Non-Discrimination and Inclusion in Everyday AI UseВидеоVideo 2: Case Study: Fairness in Child Welfare Screening AIВидеоVideo 3: Checking AI Outcomes by Demographic GroupВидеоVideo 4: Best Practices & Tools for Operationalising Fairness, Non-Discrimination & Inclusion in AIВидеоModule 4: GlossaryЧтениеModule 4: Reading MaterialsЧтениеEnd-of-Module Exercise: Fairness plan DIALOGUE
05Module 5: Privacy, Data Protection and Data Governance in AI7 материалов

Lesson 1. Introducing Privacy, Data Protection and Data Governance in Everyday AI Use

Video 1: Introducing Privacy, Data Protection and Data Governance in Everyday AI UseВидеоVideo 2: Case Study: Italy's 2023 ChatGPT BanВидеоVideo 3: Data Minimization: Limiting What AI Systems Collect and RetainВидеоVideo 4: Best Practices & Tools for Operationalising Privacy, Data Protection and Data Governance in AIВидеоModule 5: GlossaryЧтениеModule 5: Reading MaterialsЧтениеEnd-of-Module Exercise: Responsible data practicesЗадание
06Module 6: Transparency, Explainability and Accountability (TEA)6 материалов

Lesson 2. Case Study: AI-Assisted Loan Decisions

Video 1: Introducing Transparency, Explainability and Accountability in AIВидеоVideo 2: Case Study: AI-Assisted Loan DecisionsВидео Video 3: Explainability and the Black Box ProblemВидеоVideo 4: Best Practices & Tools for Operationalising Transparency, Explainability and AccountabilityВидеоModule 6: GlossaryЧтениеModule 6: Reading MaterialsЧтение
07Module 7: AI, Environment & Sustainability6 материалов

Lesson 2. Case Study: Building a Large AI Data Centre

Video 1: Introducing AI's Environmental and Sustainability Impact in Everyday Life ВидеоVideo 2: Case Study: Building a Large AI Data CentreВидеоVideo 3: Materiality & Impact Hotspots in AI's Environmental FootprintВидеоVideo 4: Best Practices & Tools for Operationalising AI SustainabilityВидеоModule 7: GlossaryЧтениеModule 7: Reading MaterialsЧтение
08Module 8: Proportionality & Do No Harm7 материалов

Lesson 1. Introducing Proportionality and Do No Harm in Everyday AI Use

Video 1: Introducing Proportionality and Do No Harm in Everyday AI UseВидеоVideo 2: Case Study: Facial Recognition in UK SchoolsВидеоVideo 3: Ex-Ante Context-Based Risk Analysis (COBRA)ВидеоVideo 4: Best Practices & Tools for Operationalising Proportionality and Do No Harm in AIВидеоModule 8: GlossaryЧтениеModule 8: Reading MaterialsЧтениеEnd-of-Module Exercise: Proportionality LabDIALOGUE
09Module 9: Human Autonomy, Meaningful Work, and the AI Economy7 материалов

Lesson 1. Introducing Human Autonomy in the AI Economy

Video 1: Introducing Human Autonomy in the AI EconomyВидеоVideo 2: Case Study: The MiDAS Unemployment Fraud Detection SystemВидеоVideo 3: Meaningful Work in the AI EconomyВидеоVideo 4: Best Practices & Tools - Operationalising Human Autonomy and Meaningful WorkВидеоModule 9: GlossaryЧтениеModule 9: Reading MaterialsЧтениеEnd-of-Module Exercise: Autonomy Implementation PlanDIALOGUE
10Module 10: Global AI Governance6 материалов

Lesson 1. Introducing Global AI Governance

Video 1: Introducing Global AI GovernanceВидеоVideo 2: Case Study: Expanding a GenAI Assistant Across MarketsВидеоVideo 3: The Forces that Shape AI GovernanceВидеоModule 10: GlossaryЧтениеModule 10: Reading MaterialsЧтениеEnd-of-Course Graded Quiz Задание