AI Implementation, Safety and the Future of Mental Health

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AI Implementation, Safety and the Future of Mental Health

This course is part of The Mental Health Clinician and AI Specialization

Instructors: Oscar Kjell

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2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

How AI can be responsibly integrated into clinical workflows, considering intended use, stakeholder needs, ethical principles, and legal frameworks.
How the role and responsibilities of clinicians are evolving as AI becomes more advanced and accessible in mental health care.
How AI in mental health is perceived by a diverse group of stakeholders, including clinicians, patients, researchers, developers, and organizations.

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This course is part of the The Mental Health Clinician and AI Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 2 modules in this course

This course is designed for students and professionals in psychology, medicine, and other clinical disciplines who want to move from understanding AI to implementing it responsibly in mental health practice.

Building on the foundations and clinical applications covered in the previous courses, you will explore what responsible AI implementation looks like in real clinical settings. You will examine how to integrate AI into clinical workflows, considering intended use, stakeholder needs, ethical principles, and legal frameworks. You will also explore how different stakeholders — including patients, clinicians, developers, and healthcare organizations — perceive and experience AI in mental health, and what this means for how it should be designed, deployed, and monitored. By the end of this course, you will be equipped to think critically about the role AI should play in mental health care, and to actively contribute to how the profession navigates this rapidly evolving landscape.

Welcome to this module on responsible implementation, where we reflect on the key factors for implementing AI into practice. We’ll consider intended use, stakeholder perspectives, core ethical principles such as transparency and privacy, as well as some regulatory frameworks. We’ll also discuss how mental health professionals can be actively involved in shaping the future of this technology.

What's included

7 videos4 readings2 assignments

7 videosTotal 35 minutes

The Mental Health Clinician and AI2 minutes
Welcome to this Module3 minutes
Intended Use and Stakeholders: Looking Beyond Accuracy5 minutes
The Evolving Landscape of Ethical AI Guidelines and Standards6 minutes
Responsible AI throughout the AI Lifecycle5 minutes
The Need for Legal and Regulatory Compliance in Clinical Use6 minutes
The Clinician’s Changing Role in the Age of AI7 minutes

4 readingsTotal 50 minutes

Course Overview10 minutes
Meet the Lecturers10 minutes
From Principles to Practice: What Ethical AI Actually Looks Like15 minutes
Summary, Key Terms, and Readings15 minutes

2 assignmentsTotal 60 minutes

Exercise: Intended Use and Stakeholder Map30 minutes
AI Ethics and Implementation Quiz30 minutes

Welcome to this module covering interviews with a diverse group of stakeholders. You will hear perspectives on AI in mental health care from clinicians, patients, AI engineers, researchers, and healthcare organizations. What do they think are the opportunities and challenges? How can different stakeholders work together? And what is their perspective on the future of AI and the mental health profession?

What's included

11 videos3 readings1 assignment

11 videosTotal 236 minutes

Frida Ilahi - The Value of Psychologists in AI Development35 minutes
Stefan Jovinge - Implementing AI in Care: An Organizational Perspective20 minutes
Andrew Schwartz – What Words Reveal: An AI Researcher's View26 minutes
Ingemar Odenbrand - Keeping the Human in the Loop: A Patient's View on AI7 minutes
Deven Shah – Bias in AI: From Research to Real-World Deployment17 minutes
Elizabeth Stade - AI Tools to Support Evidence-Based Treatment of PTSD49 minutes
Rickard Bracken - AI in the Voluntary Sector: Supporting People in Crisis15 minutes
Gabriel Bonnin - The Intersection of Psychotherapy and AI32 minutes
Eva-Lotta Kling von Schmalensée - AI from a Patient Organization Perspective7 minutes
Salim Salmi - AI Tools to Support Suicide Prevention Helplines28 minutes
Thank you — and well done1 minute

3 readingsTotal 35 minutes

Meet the Stakeholders15 minutes
Reflections from the Field10 minutes
Course Summary10 minutes

1 assignmentTotal 20 minutes

Perspectives on AI in Mental Health20 minutes

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Instructors

Oscar Kjell

Lund University

3 Courses499 learners

Offered by

Lund University

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