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by A. Vincent Vasquez (Author), Antonio Diego Vasquez (Author), Brenda S. Hart (Author)
Artificial Intelligence for Mental Health Professionals is a peer-reviewed primer that offers a clinician-focused introduction to what AI is-and what it isn't, and may qualify for self-study CE credit in several U.S. states. As AI tools become more common in therapy apps, documentation systems, and research workflows, mental health professionals are being asked to navigate technologies that weren't covered in their training. This book is your essential primer to understanding what's emerging, what matters, and how to use AI in a way that supports your clients, your practice, and your professional values.
Written for mental health professionals across clinical, counseling, forensic, health, educational, industrial-organizational, and research settings, this book provides a practical roadmap for engaging with AI as a collaborator-not a substitute. It starts with a plain-language overview of how AI and data work, then explores real-world applications across seven psychology specialties. Later chapters address ethical, cultural, and regulatory challenges and introduce structured frameworks for evaluating whether an AI tool is safe, useful, and appropriate in context. The book closes with a forward-looking view of how AI may shape future roles and practices.
AI isn't a clinician, but it has the potential to help clinicians deliver better care, more efficiently. From surfacing insights to reducing administrative burden, AI offers meaningful support for psychological practice-when used with a clear understanding of what AI can and cannot do. This book equips professionals to evaluate when, where, and how AI can be integrated to enhance the human work at the heart of mental health care.
Co-authored by a licensed psychologist and two technologists working at the forefront of AI in mental health, this book answers critical questions such as:
- What exactly is AI, and how does it relate to psychological work?
- How do AI systems learn, and what makes their data trustworthy-or not?
- What applications are already in use across psychology subfields?
- What ethical, cultural, and regulatory issues should professionals anticipate?
- How can you tell whether an AI tool is clinically relevant and ready for practice?
Peer-Reviewed and CE-Eligible
This book has been peer reviewed by licensed psychologists and marriage and family therapists for clinical accuracy and professional relevance. In many states-including California, Texas, Illinois, Ohio, and Minnesota-it may qualify for self-study continuing education (CE) credit based on independent reading of peer-reviewed professional materials.
A downloadable CE packet with learning objectives, a self-assessment quiz, and a certificate of completion is available at www.RelationshipWorkout.com/CE. APA-approved CE courses based on the book are available through the Zur Institute.
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Description
by A. Vincent Vasquez (Author), Antonio Diego Vasquez (Author), Brenda S. Hart (Author)
Artificial Intelligence for Mental Health Professionals is a peer-reviewed primer that offers a clinician-focused introduction to what AI is-and what it isn't, and may qualify for self-study CE credit in several U.S. states. As AI tools become more common in therapy apps, documentation systems, and research workflows, mental health professionals are being asked to navigate technologies that weren't covered in their training. This book is your essential primer to understanding what's emerging, what matters, and how to use AI in a way that supports your clients, your practice, and your professional values.
Written for mental health professionals across clinical, counseling, forensic, health, educational, industrial-organizational, and research settings, this book provides a practical roadmap for engaging with AI as a collaborator-not a substitute. It starts with a plain-language overview of how AI and data work, then explores real-world applications across seven psychology specialties. Later chapters address ethical, cultural, and regulatory challenges and introduce structured frameworks for evaluating whether an AI tool is safe, useful, and appropriate in context. The book closes with a forward-looking view of how AI may shape future roles and practices.
AI isn't a clinician, but it has the potential to help clinicians deliver better care, more efficiently. From surfacing insights to reducing administrative burden, AI offers meaningful support for psychological practice-when used with a clear understanding of what AI can and cannot do. This book equips professionals to evaluate when, where, and how AI can be integrated to enhance the human work at the heart of mental health care.
Co-authored by a licensed psychologist and two technologists working at the forefront of AI in mental health, this book answers critical questions such as:
- What exactly is AI, and how does it relate to psychological work?
- How do AI systems learn, and what makes their data trustworthy-or not?
- What applications are already in use across psychology subfields?
- What ethical, cultural, and regulatory issues should professionals anticipate?
- How can you tell whether an AI tool is clinically relevant and ready for practice?
Peer-Reviewed and CE-Eligible
This book has been peer reviewed by licensed psychologists and marriage and family therapists for clinical accuracy and professional relevance. In many states-including California, Texas, Illinois, Ohio, and Minnesota-it may qualify for self-study continuing education (CE) credit based on independent reading of peer-reviewed professional materials.
A downloadable CE packet with learning objectives, a self-assessment quiz, and a certificate of completion is available at www.RelationshipWorkout.com/CE. APA-approved CE courses based on the book are available through the Zur Institute.
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