東華大學圖書館 |

Revolutionizing youth mental health with ethical AI = transform youth mental well-being by exploring responsible AI and GenAI applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Revolutionizing youth mental health with ethical AI/ by Sharmistha Chatterjee, Azadeh Dindarian, Usha Rengaraju.
Reminder of title:	transform youth mental well-being by exploring responsible AI and GenAI applications /
Author:	Chatterjee, Sharmistha.
other author:	Dindarian, Azadeh.
Published:	Berkeley, CA :Apress : : 2025.,
Description:	xxvi, 641 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: Current State of Mental Well-being of Youth -- Chapter 2: The Silent Crisis: Societal Implications of Youth Mental Health Challenges -- Chapter 3: Mindful Sustainability: The Crucial Role of Mental Health in Global Sustainability -- Chapter 4: Empowering Mental Well-being through Data-driven Insights -- Chapter 5: Capturing and Linking Data Systems Using Digital Technology to Redesign Youth Mental Health 360 Services -- Chapter 6: Preserving Data Privacy In Mental Health Care: - Chapter 7: AI Models from Human-Computer Interaction Textual Data Recorded to Predict Mental Distress in Youth -- Chapter 8: AI Models from Human-Computer Interaction Speech and Video Data Recorded to Predict Mental Distress in Youth -- Chapter 9: AI Models For Detecting Different Types and Levels of Associated Risk -- Chapter 10: AI-Powered Recommendations: Enhancing Access to Mental Healthcare Assistance Programs -- Chapter 11: Towards a Responsible and Trustworthy AI System: Navigating Current Challenges and Pathways -- Chapter 12: Generative AI in Mental Well-being: Balancing Pros and Cons -- Chapter 13: Concluding Thoughts: Evaluating Benefits Provided by a Universal Teenage Mental Health Platform.
Contained By:	Springer Nature eBook
Subject:	Adolescent psychiatry. -
Online resource:	https://doi.org/10.1007/979-8-8688-1186-9
ISBN:	9798868811869

Revolutionizing youth mental health with ethical AI = transform youth mental well-being by exploring responsible AI and GenAI applications /
Chatterjee, Sharmistha.

Revolutionizing youth mental health with ethical AItransform youth mental well-being by exploring responsible AI and GenAI applications /[electronic resource] :by Sharmistha Chatterjee, Azadeh Dindarian, Usha Rengaraju. - Berkeley, CA :Apress :2025. - xxvi, 641 p. :ill., digital ;24 cm.

Chapter 1: Current State of Mental Well-being of Youth -- Chapter 2: The Silent Crisis: Societal Implications of Youth Mental Health Challenges -- Chapter 3: Mindful Sustainability: The Crucial Role of Mental Health in Global Sustainability -- Chapter 4: Empowering Mental Well-being through Data-driven Insights -- Chapter 5: Capturing and Linking Data Systems Using Digital Technology to Redesign Youth Mental Health 360 Services -- Chapter 6: Preserving Data Privacy In Mental Health Care: - Chapter 7: AI Models from Human-Computer Interaction Textual Data Recorded to Predict Mental Distress in Youth -- Chapter 8: AI Models from Human-Computer Interaction Speech and Video Data Recorded to Predict Mental Distress in Youth -- Chapter 9: AI Models For Detecting Different Types and Levels of Associated Risk -- Chapter 10: AI-Powered Recommendations: Enhancing Access to Mental Healthcare Assistance Programs -- Chapter 11: Towards a Responsible and Trustworthy AI System: Navigating Current Challenges and Pathways -- Chapter 12: Generative AI in Mental Well-being: Balancing Pros and Cons -- Chapter 13: Concluding Thoughts: Evaluating Benefits Provided by a Universal Teenage Mental Health Platform.

This book is your comprehensive guide into the dynamic intersection of artificial intelligence (AI) and youth mental health. It aims to bridge the gap between cutting-edge AI technology and its transformative potential in addressing youth mental health challenges. The book's content is structured into three key parts, each focusing on different facets of AI applications in youth mental health. The first part provides a comprehensive background on the current state of youth mental health, analyzing the prevalence of mental health issues and identifying the unique challenges faced by the digital generation. In the second part, we explore the foundational principles of AI and its potential for revolutionizing mental health care, including natural language processing, machine learning, and predictive analytics. In this section, you will find in-depth case studies and real-world applications that showcase how AI-driven interventions have already transformed mental health care for youth across diverse contexts. Finally, the third part delves into ethical considerations, fairness, privacy concerns, and the responsible integration of AI in youth mental health care to design long-term sustainable solutions. This book offers a unique and holistic perspective, making it an indispensable resource for anyone passionate about leveraging AI for the betterment of youth mental health. Through this book, you will gain the knowledge and tools needed to design and implement effective AI-driven solutions that have the potential to transform the mental health landscape for the benefit of future generations. What You Will Learn Understand the current state of youth mental health, exploring the prevalence of mental health issues among the digital generation Understand natural language processing, machine learning, and predictive analytics Know how AI interventions are already transforming mental health care for youth in diverse contexts Be aware of fairness, privacy concerns, and the responsible integration of AI in youth mental health care Get familiar with the role of GenAI in the mental health domain and how AI agents can be a game-changer.

ISBN: 9798868811869

Standard No.: 10.1007/979-8-8688-1186-9doiSubjects--Topical Terms:

529979
Adolescent psychiatry.

LC Class. No.: RJ503

Dewey Class. No.: 618.92890028563

Revolutionizing youth mental health with ethical AI = transform youth mental well-being by exploring responsible AI and GenAI applications /
LDR:04484nmm a2200325 a 4500 001 2414443
003 DE-He213
005 20250806172647.0
006 m d
007 cr nn 008maaau
008 260205s2025 cau s 0 eng d
020 $a 9798868811869 $q (electronic bk.)
020 $a 9798868811852 $q (paper)
024 7 $a 10.1007/979-8-8688-1186-9 $2 doi
035 $a 979-8-8688-1186-9
040 $a GP $c GP
041 0 $a eng
050 4 $a RJ503
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 618.92890028563 $2 23
090 $a RJ503 $b .C495 2025
100 1 $a Chatterjee, Sharmistha. $3 3791125
245 1 0 $a Revolutionizing youth mental health with ethical AI $h [electronic resource] : $b transform youth mental well-being by exploring responsible AI and GenAI applications / $c by Sharmistha Chatterjee, Azadeh Dindarian, Usha Rengaraju.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2025.
300 $a xxvi, 641 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Current State of Mental Well-being of Youth -- Chapter 2: The Silent Crisis: Societal Implications of Youth Mental Health Challenges -- Chapter 3: Mindful Sustainability: The Crucial Role of Mental Health in Global Sustainability -- Chapter 4: Empowering Mental Well-being through Data-driven Insights -- Chapter 5: Capturing and Linking Data Systems Using Digital Technology to Redesign Youth Mental Health 360 Services -- Chapter 6: Preserving Data Privacy In Mental Health Care: - Chapter 7: AI Models from Human-Computer Interaction Textual Data Recorded to Predict Mental Distress in Youth -- Chapter 8: AI Models from Human-Computer Interaction Speech and Video Data Recorded to Predict Mental Distress in Youth -- Chapter 9: AI Models For Detecting Different Types and Levels of Associated Risk -- Chapter 10: AI-Powered Recommendations: Enhancing Access to Mental Healthcare Assistance Programs -- Chapter 11: Towards a Responsible and Trustworthy AI System: Navigating Current Challenges and Pathways -- Chapter 12: Generative AI in Mental Well-being: Balancing Pros and Cons -- Chapter 13: Concluding Thoughts: Evaluating Benefits Provided by a Universal Teenage Mental Health Platform.
520 $a This book is your comprehensive guide into the dynamic intersection of artificial intelligence (AI) and youth mental health. It aims to bridge the gap between cutting-edge AI technology and its transformative potential in addressing youth mental health challenges. The book's content is structured into three key parts, each focusing on different facets of AI applications in youth mental health. The first part provides a comprehensive background on the current state of youth mental health, analyzing the prevalence of mental health issues and identifying the unique challenges faced by the digital generation. In the second part, we explore the foundational principles of AI and its potential for revolutionizing mental health care, including natural language processing, machine learning, and predictive analytics. In this section, you will find in-depth case studies and real-world applications that showcase how AI-driven interventions have already transformed mental health care for youth across diverse contexts. Finally, the third part delves into ethical considerations, fairness, privacy concerns, and the responsible integration of AI in youth mental health care to design long-term sustainable solutions. This book offers a unique and holistic perspective, making it an indispensable resource for anyone passionate about leveraging AI for the betterment of youth mental health. Through this book, you will gain the knowledge and tools needed to design and implement effective AI-driven solutions that have the potential to transform the mental health landscape for the benefit of future generations. What You Will Learn Understand the current state of youth mental health, exploring the prevalence of mental health issues among the digital generation Understand natural language processing, machine learning, and predictive analytics Know how AI interventions are already transforming mental health care for youth in diverse contexts Be aware of fairness, privacy concerns, and the responsible integration of AI in youth mental health care Get familiar with the role of GenAI in the mental health domain and how AI agents can be a game-changer.
650 0 $a Adolescent psychiatry. $3 529979
650 0 $a Artificial intelligence $x Medical applications. $3 900591
650 0 $a Mental illness $x Treatment $x Technological innovations. $3 3791128
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Behavioral Sciences and Psychology. $3 3531323
700 1 $a Dindarian, Azadeh. $3 3791126
700 1 $a Rengaraju, Usha. $3 3791127
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/979-8-8688-1186-9
950 $a Professional and Applied Computing (SpringerNature-12059)