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AI and Mental Health Care: Issues, Challenges, and Opportunities

Project
AI and Mental Health Care
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American Â鶹´«Ã½ÍøÕ¾ of Arts and Sciences

Table of Contents

List of Project Participants

A Letter from the President of the American Â鶹´«Ã½ÍøÕ¾

Introduction

Background
Our Approach

QUESTION 1: How might we measure the effectiveness of AI-driven mental health interventions?

Background
Responses

QUESTION 2: How can we ensure and monitor the safety of AI in mental health care?

Background
Responses

QUESTION 3: Must there always be a human in the loop?

Background
Responses

QUESTION 4: What are the potential unintended consequences of AI-driven mental health care on the nature of interpersonal relationships?

Background
Responses

QUESTION 5: How should these tools be deployed or limited in high-risk or vulnerable populations?

Background
Responses

QUESTION 6: How should AI models be reimbursed or monetized?

Background
Responses

QUESTION 7: Can AI help address disparities in access to mental health care and the shortage of mental health providers?

Background
Responses

QUESTION 8: What are the economic and other impacts of AI adoption in mental health on health care providers?

Background
Responses

QUESTION 9: What are the most significant scholarly questions that will need to be answered as AI’s role in mental health care evolves?

Background
Responses

Afterword

American Â鶹´«Ã½ÍøÕ¾ of Arts and Sciences
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Topics
Science & Technology
Society & Health

Related

Project

AI and Mental Health Care

This project convenes interdisciplinary experts to identify the grand challenges in digital mental health, including policy recommendations for ensuring that AI and other emerging technologies shape mental health diagnosis and treatment ethically and equitably.  

Chairs
Paul Dagum, Sherry Glied, and Alan I. Leshner
Science & Technology
Society & Health