Description
Navigate AI adoption in mental health practice with informed clinical judgment
Mental health professionals (MHPs) face a new trend that brings about fear, anxiety, hope, and perhaps excitement for some: artificial intelligence (AI). Above all, a careful evaluation and thorough consideration are needed to assess what role AI can play, and in what form it can play its part in mental health care, while at the same time preserving the human connection that is so vital for therapy.
Written by clinical psychologists and technologists, this is a complete introduction to the topic of artificial intelligence applied in mental health care. Integrating AI into Mental Health Care starts with a diligent exploration of ethics, safety, and privacy. It then discusses regulatory aspects and liability for clinicians, how to use AI for professional education, AI scribes, chatbots, and the emergence of new conversational paradigms. Finally, a chapter on AI fundamentals provides the necessary technical depth as a reference.
This work is written to assist MHPs in evaluating AI tools in all their complexity, with the vision to equip MHPs with the necessary knowledge to form their own professional, educated opinions.
Readers will find:
- Decision frameworks to evaluate whether specific AI applications align with clinical practice needs, ethical standards, and patient populations.
- Approaches to maintaining professional judgment and clinical autonomy while leveraging technology to improve practice efficiency and reach.
- The most prevalent AI applications and a thorough evaluation of their benefits, use cases, and challenges.
MHPs navigating workforce pressures and technology adoption decisions will find this book invaluable. Psychologists, psychiatrists, counselors, and clinical social workers will gain the knowledge needed to critically evaluate AI applications and implement them thoughtfully within their practice.
Table of Contents
Introduction: A Call to Shape AI in Mental Health Care 1
There Is Immense Pressure on the Mental Health Care System 1
AI Has Become Highly Practical and Mainstream 2
AI as an Ally, Going Towards a Hybrid Model 3
Among Practitioners, There Is Curiosity and Concern 5
A Roadmap for Practitioners to Navigate These Challenges 5
Clinicians Should Take an Active Role in Shaping the Influence of AI 7
CHAPTER 1 AI and the Changing Landscape of Ethical Care 10
Chapter at a Glance 10
Introduction 11
Trust and Responsibility 17
Promotion of Human Values 23
Beneficence and Nonmaleficence 29
A Framework for Ethical AI Integration 36
Looking Ahead: Shaping an Ethically Resilient Future 58
CHAPTER 2 AI and Provider's Liability, First AI-Directed Regulation, Informed Consent, and Privacy Rules 79
Chapter at a Glance 79
Introduction 80
Provider's Liability and Deviation From the Standard of Care 80
Informed Consent and Privacy in the United States, European Union, and the United Kingdom 82
AI Systems Follow Standard Medical Device Regulation 86
Recent Regulatory Changes for the Use of AI
in Mental Health (USA) 89
CHAPTER 3 Patient Communication, Privacy, Safety, and Consent (Mitigation) 94
Chapter at a Glance 94
Introduction: Real-World Challenges in Integrating AI Into Clinical Practice 95
Key Principles to Consider When Explaining AI Use to Mental Health Patients 97
Consider the Clinical Context When Using AI 98
Tools and Strategies for Communicating With Patients 108
Patient-Centered Communication Strategies for Introducing AI in Therapy 109
Patient-Centered Communication in Action: Clinical Vignette-Based Examples 116
Final Thoughts 121
CHAPTER 4 Rethinking Therapeutic Work: Mapping Human–AI Roles in Care 125
Chapter at a Glance 125
Introduction 126
A Practical Framework for Integrating AI and
Preserving Human Roles in Mental Health Care 131
Adaptive Tasks (Functional, Dynamic) 133
Attunement and Synchrony (Experiential, Dynamic) 141
A Closer Examination of AI's Experiential Limitations 144
Reimagining Care Through Human–AI Partnership 147
CHAPTER 5 AI Scribes and (Mental Health) Chatbots 157
Chapter at a Glance 157
Introduction 157
AI Scribes—Productivity Improvement or Cognitive Diminishment? 158
Mental Health Chatbots—Light Support With Challenging Safety Risks 164
Conclusion 171
CHAPTER 6 Using Artificial Intelligence to Support Education and Professional Development 177
Chapter at a Glance 177
Introduction 178
AI-Supported Professional Development 179
How AI Can Support Trainee Education 180
How AI Can Support Professional Development 185
How AI Can Support Client Education 187
How AI Can Support Research 189
Conclusion 190
CHAPTER 7 Beyond Conversation: Reconceptualizing Therapy in the Age of Artificial Intelligence 194
Chapter at a Glance 194
Introduction 195
The Nature of Conversations and AI 195
Artificial Personalities 197
Why Personification 203
Conversational Assumptions in Therapy 204
Therapeutic Assistants 206
Exploring the Speculative Future of Therapy 208
Pull-Out Interview 212
CHAPTER 8 Fundamentals of Artificial Intelligence 218
Chapter at a Glance 218
Introduction 218
AI's Core Concepts: Data, Training, and a Model 219
How AI Learns to Understand and Use Human Language 223
References 227
Index 229
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