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.

AI Implementation, Safety and the Future of Mental Health

AI Implementation, Safety and the Future of Mental Health
This course is part of The Mental Health Clinician and AI Specialization



Instructors: Oscar Kjell
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
- General Data Protection Regulation (GDPR)
- Mental and Behavioral Health
- Data Security
- Mental Health
- Artificial Intelligence
- Natural Language Processing
- Data Ethics
- Health Technology
- Psychological Evaluations
- Ethical Standards And Conduct
- Patient-centered Care
- Machine Learning
- Health Care Procedure and Regulation
- Regulation and Legal Compliance
- Human Centered Design
- Healthcare Ethics
- Law, Regulation, and Compliance
- Large Language Modeling
- Responsible AI
Tools you'll learn
Details to know

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Assessments
3 assignments
Taught in English
Recently updated!
July 2026
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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
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