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Responsible AI for Mental Health · LearnSpace
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Responsible AI for Mental Health

Курс от Northeastern University
Начальный≈ 13.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Unlock the future of AI-driven mental health care while tackling the critical ethical challenges shaping the field today. From bias and misinformation to privacy and patient safety, this course dives into the complexities of AI’s role in mental health. Explore cutting-edge advancements in computing and social robotics, and compare basic and advanced NLP techniques used in mental health analysis. Gain insight into emerging trends that are transforming therapy, diagnostics, and patient support, and examine how AI can be both a powerful tool and a potential risk in mental healthcare. Designed for mental health professionals, policymakers, and tech leaders, this course empowers you to shape responsible AI frameworks that prioritize fairness, transparency, and safety. Whether you're looking to influence policy, integrate AI into healthcare, or understand the future of mental health technology, this course provides the expertise to make an impact. Join us and be at the forefront of building ethical, effective, and human-centered AI for mental health.

Навыки, которые вы освоите

Responsible AIHealth EquityAI IntegrationsData EthicsSocial Determinants Of HealthArtificial IntelligenceRisk AnalysisHealthcare EthicsData SecurityHealth DisparitiesNatural Language ProcessingMental Health Diseases and DisordersMental HealthGovernanceRisk MitigationAI literacy

Программа курса

4 модулей · 57 учебных материалов

01Introduction to Responsible AI in Mental Health16 материалов

Getting Started

Course IntroductionВидеоCourse SyllabusЧтениеMeet Your InstructorВидеоMeet Your Fellow LearnersОбсуждение

Учитесь у экспертов

Annika Marie Schoene

Преподаватель курса

Responsible AI for Mental Health
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 13.4 ч

4 модулей

Язык: Английский

Субтитры: Китайский (Тайвань), Арабский, Французский, Узбекский, Китайский (Китай), Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Турецкий, Испанский, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета

Lesson 1: Ethical and Responsible AI

Breaking the Stigma: Challenging Misconceptions About Mental HealthЧтение
What Does It Mean to Responsibly Use AI in Mental Health?Чтение
Ethical Considerations and ChallengesЧтение
Check Your Knowledge: AI Ethics, Bias, and AccountabilityЗадание

Lesson 2: Privacy, Security, and Misinformation

Privacy and Security IssuesЧтениеMisinformation in AI ApplicationsЧтениеCheck Your Knowledge: Ethical and Privacy Risks in AI-Driven Mental Health CareЗадание

Lesson 3: AI for Social Good

Expert Insights: Meet Aminat AdebiyiВидеоTech for Social JusticeВидео

Module 1 Wrap-Up

Module 1 QuizЗаданиеNavigating Ethical and Practical Challenges in AI for Mental HealthОбсуждениеModule 1 SummaryЧтение
02AI and Mental Health: Use Cases, Challenges, and Progress16 материалов

Lesson 1: The Role of AI in Mental Health

Breaking the Stigma: Challenging Misconceptions About Mental HealthЧтениеCase Study: Lily and the AI Mental Health App "Serena"ЧтениеHistorical and Current Uses of AI in Mental HealthЧтениеCan AI Understand Mental Health?ЧтениеCheck Your Knowledge: AI's Role, Limitations, and Ethical Considerations in Mental HealthЗадание

Lesson 2: Enhancing Wellbeing Through Affective Computing

Expert Insights: Meet Agata LapedrizaВидеоAffective Computing and Social Robotics for Mental HealthВидео

Lesson 3: Natural Language Processing

Expert Insights: Meet Silvio AmirВидеоNatural Language Processing and Mental Health AnalysisВидеоTraditional Methods of Natural Language ProcessingВидеоNatural Language Processing and Neural NetworksВидеоCheck Your Knowledge: Natural Language Processing (NLP) in Mental HealthЗадание

Lesson 4: Harnessing Multi-Modal AI for Better Mental Health

Multi-Modal and Human-in-the-Loop AIЧтение

Module 2 Wrap-Up

Module 2 QuizЗаданиеEthical Dilemmas and Accountability in AI for Mental HealthОбсуждениеModule 2 SummaryЧтение
03Ethics and Technical Foundations of Responsible AI in Mental Health14 материалов

Lesson 1: Ethical Challenges in AI for Mental Health

Breaking the Stigma: Challenging Misconceptions About Mental HealthЧтениеWhy Current IRBs/Ethics Processes Routed in Bioethics Are Not Good Enough for AI WorkЧтениеExpert Insights: Meet John BaslВидеоChallenge of Ethics Tools in AIВидеоCheck Your Knowledge: Ethical Challenges and Bias Mitigation in AI ResearchЗадание

Lesson 2: Bias and Fairness in AI Systems for Mental Health

Expert Insights: Meet Rafa MestreВидеоBias in AI Systems for Mental HealthВидеоFairness in AI Systems for Mental HealthВидеоCheck Your Knowledge: Bias and Fairness in AIЗадание

Lesson 3: Responsible Research and Innovation (RRI) in AI

Responsible Research and Innovation Видео

Lesson 4: Policy and Governance in Responsible AI

Policy and GovernanceВидео

Module 3 Wrap-Up

Module 3 QuizЗаданиеEnsuring Fairness and Accountability in AI for Mental HealthОбсуждениеModule 3 SummaryЧтение
04Addressing Social Drivers of Health and Stigma in Mental Health AI11 материалов

Lesson 1: Social Determinants of Health (SDOH) and Mental Health AI

Breaking the Stigma: Challenging Misconceptions About Mental HealthЧтениеThe Impact of Social Drivers of Health and Stigma in Mental Health AIЧтениеExpert Insights: Meet Alisa LincolnВидеоSocial Determinants of HealthВидеоCheck Your Knowledge: Social Determinants of Health and Their Impact on Mental HealthЗадание

Lesson 2: Stigma and Mental Health AI

Expert Insights: Meet Liz ScharnetzkiВидеоStigmaВидео

Module 4 Wrap-Up

Module 4 QuizЗаданиеBreaking the Stigma: Challenging Misconceptions About Mental HealthВзаимная проверкаModule 4 SummaryЧтениеCourse ConclusionЧтение