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
   

  Who This Book Is For

  To equip academics and researchers in the AI, computer science, and digital mental health domain as well as AI application developers with a deeper understanding of how AI-powered innovations can enhance the well-being of youth; and innovation managers and policymakers who are interested in exploring the AI use cases

   

   

  Autorentext

  Sharmistha Chatterjee is an AI and cloud applications evangelist, serving as the Senior Vice President/Head of the Advanced Analytics Chapter at the Commonwealth Bank of Australia. A graduate of Aalto University with a background in Computer Science and Engineering, she has established and led the practice, focusing on building scalable AI platforms. Sharmistha has published research papers, filed patents, and holds proven expertise in leading teams to develop scalable AI solutions across various industries. She is recognized as a 2X GDE, award-winning data scientist, and nominee for several accolades, including 40 under 40 Data Scientist, Women to Watch in AI and Analytics, and global leader finalist. She actively contributes to the community through blogging, speaking at international conferences, mentoring startups, and serving as a guest speaker at universities. Sharmistha is also an advocate for diversity, equity, and inclusion, actively participating in DEI hiring initiatives and addressing gaps in AI tools.

  Dr. Azadeh Dindarian transitioned from an engineer and scientist to a purpose-driven entrepreneur, earning a PhD in Electrical and Electronic Engineering and a BEng in Computing and Communication Systems Engineering from The University of Manchester. Specializing in addressing societal challenges, she is the founder of Youniversapp, an AI-powered mental fitness app for teenagers. As a professor at SRH Berlin University of Applied Sciences, her focus encompasses digitalization, youth mental health, and technologies in mental and digital health. Azadeh's expertise includes software innovation, data-driven project management, and cross-functional team collaboration. As the CEO of Youniversapp, she utilizes AI and psychoeducation to promote teenagers' social and emotional skills, aiming to prevent mental illness. Azadeh's commitment to diversity and entrepreneurship is evident through her initiatives such as Women AI Academy and Resili Tech Venture. She continues to influence the next generation through lectures and mentoring in engineering, digitalization, and ethical AI. Her research contributions span peer-reviewed journals and books on digitalization, emerging technologies, sustainability, and smart cities.

  Usha Rengaraju, the Head of Data Science Research at Exa Protocol, holds the distinction of being the world's first women triple Kaggle Grandmaster. Specializing in Deep Learning and Probabilistic Graphical Models, she served as a judge for prestigious challenges such as Tiger Graph's "Graph for All - Million Dollar Challenge" and the Intel oneAPI Hackathon in 2022. Recognized as a Top 10 Data Scientist in India (2020) by Analytics India Magazine, a leading woman data scientist, and a Top 150 AI Leader and Influencer by 3AI magazine, Usha is a trailblazer in her field. Her initiatives include organizing NeuroAI, India's first research symposium at the intersection of Neuroscience and Data Science, and the Neurodiversity India Summit, the country's inaugural Neurodiversity conference. A champion of Autism (Neurodiversity), Usha focuses on leveraging AI to address the challenges faced by the autistic community. She led her team to victory in the WiDS 2022 Datathon, won the Kaggle ML Research Spotlight for 2022, and earned the TensorFlow Community Spotlight in 2023. Passionate about applying AI to healthcare, Usha believes in its transformative potential for India's healthcare crisis. With expertise in Deep Learning for computer vision and NLP, she aims to revolutionize mental healthcare by enhancing public health surveillance, enabling early disease diagnosis, and advancing precision medicine.