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Responsible AI Principles · LearnSpace
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Responsible AI Principles

Курс от AI CERTs
Начальный≈ 31.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

AI now influences important decisions across business, government, healthcare, finance, and everyday digital experiences. The Responsible AI Principles Certification is a practical, beginner-friendly course that helps professionals understand how to design, deploy, and manage AI systems that are ethical, transparent, fair, and accountable. This course focuses on real-world responsible AI workflows, including risk assessment, bias mitigation, privacy, transparency, documentation, monitoring, and incident response. You will explore key standards and practical methods for building safer AI across the full lifecycle, from data collection to deployment. Each module combines concise instruction with hands-on exercises, case studies, and policy templates. You will learn how to review AI systems, define governance processes, set measurable guardrails, and support safer decision-making. By the end, you will be able to assess AI risks, identify ethical concerns, apply responsible AI safeguards, and help build systems that protect users, reduce harm, and strengthen trust. Enroll online to build safe, fair, and accountable AI practices across your organization.

Навыки, которые вы освоите

Responsible AIRiskingInformation PrivacySocial ImpactRegulatory ComplianceData SecurityCase Studies

Программа курса

9 модулей · 123 учебных материалов

01Module 1: Overview of AI Ethics and Societal Impact17 материалов
Navigation VideoВидеоCourse IntroductionВидеоeBook: Module 1: Overview of AI Ethics and Societal ImpactPLUGINAudiobook: Module 1: Overview of AI Ethics and Societal ImpactВидео

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Responsible AI Principles
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Обучение на Coursera

≈ 31.5 ч

9 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский

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Podcast: Module 1: Overview of AI Ethics and Societal ImpactВидео
1.1 Overview of Ethical Considerations in AIВидео
1.2 Societal Impact of AI Technologies Видео
1.3 Ethics and Privacy in the Age of AIВидео
1.4 The Impact of AI on Social Interaction and Lifestyle TransformationsВидео
1.5 AI in HealthcareВидео
1.6 AI in EducationВидео
1.7 AI and the EnvironmentВидео
1.8 Framework Establishment and Stakeholder InvolvementВидео
1.9 Assessment Process and MethodologiesВидео
1.10 Reporting, Recommendations, and Continuous MonitoringВидео
Activity: AccordionPLUGIN
Quiz 1Задание
02Module 2: Bias and Fairness in AI11 материалов
eBook: Module 2: Bias and Fairness in AIPLUGINAudioBook: Module 2: Bias and Fairness in AIВидеоPodcast: Module 2: Bias and Fairness in AIВидео2.1 Exploration of Biases in Data and AlgorithmsВидео2.2 Navigating Ethics: Data Collection Practices and Algorithmic BiasВидео2.3 Developing Diverse Data Sets and Promoting TransparencyВидео2.4 Conducting Regular AuditingВидео2.5 Adhere to Ethical AI FrameworksВидео2.6 The Role of StakeholdersВидеоActivity: Drag & DropPLUGINQuiz 2Задание
03Module 3: Transparency and Explainable AI14 материалов
eBook: Module 3: Transparency and Explainable AIPLUGINAudioBook: Module 3: Transparency and Explainable AIВидеоPodcast: Module 3: Transparency and Explainable AIВидео3.1 Importance and Pillars of Transparent AI SystemsВидео3.2 Key Techniques: Simplified VisualizationsВидео3.3 Key Techniques: Use Case ExamplesВидео3.4 Key Techniques: Layered ExplanationsВидео3.5 Key Techniques: Interactive DemonstrationsВидео3.6 Key Techniques: Tailored CommunicationВидео3.7 AI Ethics Simulator and Fairness in Machine LearningВидео3.8 Privacy-Preserving AI Models and AI for Social GoodВидео3.9 Explainable AIВидеоActivity: TabPLUGINQuiz 3Задание
04Module 4: Privacy and Security Issues in AI14 материалов
eBook: Module 4: Privacy and Security Issues in AIPLUGINAudioBook: Module 4: Privacy and Security Issues in AIВидеоPodcast: Module 4: Privacy and Security Issues in AIВидео4.1 Data Collection and ConsentВидео4.2 Surveillance and MonitoringВидео4.3 Data Security and BreachesВидео4.4 Real-life Examples of Data Breaches in AIВидео4.5 Algorithmic Transparency and AccountabilityВидео4.6 Strategies for Securing AI Systems and DataВидео4.7 Robust Encryption, Access Control, and Security Audits for ComplianceВидео4.8 Advanced Threat Detection and Ethical AI DevelopmentВидео4.9 Continuous Education and TrainingВидеоActivity: SlideshowPLUGINQuiz 4Задание
05Module 5: Accountability and Responsibility13 материалов
eBook: Module 5: Accountability and ResponsibilityPLUGINAudioBook: Module 5: Accountability and ResponsibilityВидеоPodcast: Module 5: Accountability and ResponsibilityВидео5.1 TransparencyВидео5.2 Compliance with Legal and Ethical StandardsВидео5.3 Auditability and ReportingВидео5.4 Ethical AI DevelopmentВидео5.5 Data Privacy and ProtectionВидео5.6 Transparency and ExplainabilityВидео5.7 Continuous Learning and ImprovementВидео5.8 Stakeholder Engagement and Ethical PracticesВидеоActivity: HotspotPLUGINQuiz 5Задание
06Module 6: Legal and Regulatory Issues12 материалов
eBook: Module 6: Legal and Regulatory IssuesPLUGINAudiobook: Module 6: Legal and Regulatory IssuesВидеоPodcast: Module 6: Legal and Regulatory IssuesВидео6.1 AI Legal Frameworks: EU and USВидео6.2 AI Legal Frameworks: UK and ChinaВидео6.3 AI Ethics, Privacy, and Intellectual PropertyВидео6.4 AI Governance, Surveillance, and AutonomyВидео6.5 AI in Society: Workforce, Standards, and ImpactВидео6.6 AI Platforms for Compliance: IBM Watson, Google AI, and SalesforceВидео6.7 Frameworks for Responsible AI: PwC Toolkit and FICO WorkbenchВидеоActivity: SlideshowPLUGINQuiz 6Задание
07Module 7: Ethical Decision Making Frameworks15 материалов
eBooks: Module 7: Ethical Decision Making FrameworksPLUGINAudioBook: Module 7: Ethical Decision Making FrameworksВидеоPodcast: Module 7: Ethical Decision Making FrameworksВидео7.1 IEEE's Ethically Aligned Design and Asilomar AI PrinciplesВидео7.2 EU Guidelines for Trustworthy AI and Google’s AI PrinciplesВидео7.3 IBM Watson HealthВидео7.4 Microsoft’s AI for AccessibilityВидео7.5 DeepMind’s AI for EnergyВидео7.6 Autonomous Vehicles (Waymo, Tesla)Видео7.7 Facial Recognition (IBM, Amazon)Видео7.8 Google’s Project Maven WithdrawalВидео7.9 Open AI Gym and Moral Machine by MITВидео7.10 NetLogo , Shadow Health, and The Ethics GameВидеоActivity: Case StudyPLUGINQuiz 7Задание
08Module 8: AI Governance and Best Practices12 материалов
eBook: Module 8: AI Governance and Best PracticesPLUGINAudioBook: Module 8: AI Governance and Best PracticesВидеоPodcast: Module 8: AI Governance and Best PracticesВидео8.1 Principles of International AI GovernanceВидео8.2 Functions of International AI GovernanceВидео8.3 Executive Commitment, Dedicated Ethics Teams, and Ethics FrameworkВидео8.4 Ethics by Design, Regular Training, and Transparency and ExplainabilityВидео8.5 Google’s AI Principles (2018) and EU’s GDPRВидео8.6 Facial Recognition Bans (Various Cities), AI Ethics Board Disbandment (Facebook)Видео8.7 Singapore’s Model AI Governance Framework (2019)ВидеоActivity: HotspotPLUGINQuiz 8Задание
09Module 9: Global AI Ethics Standards15 материалов
eBook: Module 9: Global AI Ethics StandardsPLUGINAudioBook: Module 9: Global AI Ethics StandardsВидеоPodcast: Module 9: Global AI Ethics StandardsВидео9.1 Introduction to Global AI Ethics Standards Видео9.2 Explore Standards: IEEE’s Ethically Aligned DesignВидео9.3 Overview of Comparative AI Ethics StandardsВидео9.4 AI Ethics Standards: USA vs. EuropeВидео9.5 AI Ethics Standards: China vs. AfricaВидео9.6 AI Fairness 360 (AIF360)  and Model Cards  Видео9.7 TensorFlow Privacy  and OpenAI Gym  Видео9.8 ISO/IEC JTC 1/SC 42  and Partnership on AI  Видео9.9 EU AI Act & Ethics GuidelinesВидеоActivity: Drag & DropPLUGINQuiz 9ЗаданиеCourse SummaryВидео