AI Implementation, Safety and the Future of Mental Health

Ends in 3 days! Save 40% on your access to 10,000+ programs and make a real impact in your career. Save now.

AI Implementation, Safety and the Future of Mental Health

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

Instructors: Oscar Kjell

Included with Learn more

Ask Coursera

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.

Skills you'll gain

Tools you'll learn

Risking

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

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.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

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

AI Ethics and Implementation Quiz30 minutes
Exercise: Intended Use and Stakeholder Map30 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
New Video7 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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Oscar Kjell

Lund University

3 Courses93 learners

Offered by

Lund University

Explore more from Psychology

Status: Preview
Northeastern University
Responsible AI for Mental Health
Course
Status: Free Trial
Lund University
AI Applications for Mental Health and Clinical Practice
Course
Status: Free Trial
Lund University
Understanding and Evaluating AI for Mental Health
Course
Status: Free Trial
Lund University
The Mental Health Clinician and AI
Specialization

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.