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Understanding and Evaluating AI for Mental Health · LearnSpace
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Understanding and Evaluating AI for Mental Health

Курс от Lund University
Средний≈ 6.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course is designed for students and professionals in psychology, medicine, and other clinical disciplines who want to build a practical understanding of AI and the skills to evaluate it critically. You will explore the core concepts behind modern AI systems, including Machine Learning, Natural Language Processing, and Large Language Models, learning how these technologies work on a conceptual level and why they are increasingly relevant to mental health. You will also learn how to assess whether AI systems are trustworthy, with a focus on validity, reliability, and bias — and what it means for an AI tool to be safe and fair for use across diverse patient groups. Throughout, expert interviews with researchers and developers bring these concepts to life from the perspective of people who have actually built these systems. By the end of this course, you will have the foundation to understand, question, and critically evaluate AI tools — an essential skill as AI becomes increasingly present in mental health practice.

Навыки, которые вы освоите

Model EvaluationClinical PracticesArtificial IntelligenceMachine LearningLarge Language ModelingClinical PsychologyNatural Language ProcessingGenerative AIMental Health

Программа курса

2 модулей · 32 учебных материалов

01Introduction to Artificial intelligence (AI)17 материалов

Course introduction

The Mental Health Clinician and AIВидеоCourse OverviewЧтениеMeet the LecturersЧтение

Introduction to AI

Welcome to this ModuleВидео

Учитесь у экспертов

Oscar Kjell

Преподаватель курса

Veerle Eijsbroek

Преподаватель курса

Katarina Kjell

Преподаватель курса

Understanding and Evaluating AI for Mental Health
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Обучение на Coursera

≈ 6.9 ч

2 модулей

Язык: Английский

Часть программы вашего университета
What is AI?Видео
The Basics of Machine LearningВидео
Examples of Machine Learning TechniquesВидео
Natural Language ProcessingВидео
Multimodal Large Language Models – Text, Audio, and VideoВидео
Open-source versus Proprietary AIЧтение
Making Sense of AI: Core Concepts for Mental HealthcareDIALOGUE
Interviews: Meet the ExpertsЧтение
Andrew Schwartz – What Words Reveal: An AI Researcher's ViewВидео
Gabriel Bonnin - The Intersection of Psychotherapy and AIВидео
Reflection: Open-source vs. Proprietary AIЗадание
Summary, Key terms, and ReadingsЧтение
Fundamentals of AI QuizЗадание
02How to Evaluate AI: Validity and Reliability15 материалов

Evaluating AI

Welcome to this ModuleВидеоValidity, Reliability, and Biases in AIВидеоEvaluating Severity Scores and Diagnostic ClassificationsВидеоEffect Sizes: From Statistical Significance to Practical ImportanceЧтениеTraining and Validating against Best-Estimate AssessmentsВидеоReporting Guidelines and Evaluation Standards for AI ЧтениеProspectively Evaluating AI Models in New DataВидеоThe Foundations of AI in Mental Health: From Methods to EvaluationВидеоHow to Evaluate AI for Mental HealthDIALOGUEReflection: Evaluating an AI toolЗаданиеInterview: Meet the ExpertЧтениеDeven Shah – Bias in AI: From Research to Real-World DeploymentВидеоSummary, Key terms, and ReadingsЧтениеAI Evaluation QuizЗадание

Thank you & Conclusion

Course SummaryЧтение