Revolutionizing Youth Mental Health with Ethical AI: Transform Youth Mental Well-Being by Exploring Responsible AI and Genai Applications
暫譯: 以倫理AI革新青少年心理健康：透過探索負責任的AI與生成式AI應用來轉變青少年心理福祉

這本書是您進入人工智慧（AI）與青少年心理健康之間動態交集的全面指南。它旨在彌合尖端AI技術與其在解決青少年心理健康挑戰中的變革潛力之間的鴻溝。

本書的內容分為三個主要部分，每個部分專注於AI在青少年心理健康應用的不同面向。第一部分提供了有關當前青少年心理健康狀況的全面背景，分析心理健康問題的普遍性並識別數位世代所面臨的獨特挑戰。在第二部分中，我們探討AI的基本原則及其在革命性改變心理健康護理方面的潛力，包括自然語言處理、機器學習和預測分析。在這一部分，您將找到深入的案例研究和實際應用，展示AI驅動的干預措施如何在不同背景下改變青少年的心理健康護理。最後，第三部分深入探討倫理考量、公平性、隱私問題以及在青少年心理健康護理中負責任地整合AI，以設計長期可持續的解決方案。

這本書提供了獨特而全面的視角，使其成為任何熱衷於利用AI改善青少年心理健康的人的不可或缺的資源。通過這本書，您將獲得設計和實施有效的AI驅動解決方案所需的知識和工具，這些解決方案有潛力改變心理健康領域，造福未來世代。

您將學到的內容：
- 了解當前青少年心理健康狀況，探索數位世代中心理健康問題的普遍性
- 了解自然語言處理、機器學習和預測分析
- 知道AI干預措施如何在不同背景下改變青少年的心理健康護理
- 意識到公平性、隱私問題以及在青少年心理健康護理中負責任地整合AI

本書適合對象：
旨在為AI、計算機科學和數位心理健康領域的學者和研究人員，以及AI應用開發者提供更深入的理解，幫助他們了解AI驅動的創新如何增進青少年的福祉；同時也適合對探索AI應用案例感興趣的創新管理者和政策制定者。

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 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.

Sharmistha Chatterjee 是一位人工智慧和雲端應用的推廣者，目前擔任澳洲聯邦銀行高級副總裁/高級分析部門負責人。她畢業於阿爾托大學，擁有計算機科學與工程的背景，並建立和領導了專注於構建可擴展人工智慧平台的實踐。Sharmistha 發表了多篇研究論文，申請了專利，並在領導團隊開發各行各業的可擴展人工智慧解決方案方面擁有豐富的專業知識。她被認可為 2X GDE、獲獎數據科學家，並多次被提名各種獎項，包括 40 位 40 歲以下數據科學家、人工智慧與分析領域的女性觀察名單，以及全球領導者決賽入圍者。她通過寫博客、在國際會議上演講、指導初創企業以及擔任大學的客座講者，積極貢獻於社群。Sharmistha 也是多元性、公平性和包容性的倡導者，積極參與 DEI 招聘計劃並解決人工智慧工具中的差距。

Dr. Azadeh Dindarian 從工程師和科學家轉型為以目的驅動的企業家，獲得了曼徹斯特大學的電氣與電子工程博士學位以及計算與通信系統工程的學士學位。專注於解決社會挑戰，她是 Youniversapp 的創始人，這是一款針對青少年的人工智慧驅動的心理健康應用。作為柏林應用科學大學的教授，她的研究重點包括數位化、青少年心理健康以及心理和數位健康技術。Azadeh 的專業知識涵蓋軟體創新、數據驅動的專案管理和跨功能團隊合作。作為 Youniversapp 的首席執行官，她利用人工智慧和心理教育來促進青少年的社交和情感技能，旨在預防心理疾病。Azadeh 對多元性和企業家的承諾通過她的倡議得以體現，例如女性人工智慧學院和 Resili Tech Venture。她通過在工程、數位化和倫理人工智慧方面的講座和指導，持續影響下一代。她的研究貢獻涵蓋了數位化、新興技術、可持續性和智慧城市的同行評審期刊和書籍。

Usha Rengaraju 是 Exa Protocol 的數據科學研究部門負責人，並且是全球首位女性三冠 Kaggle 大師。專注於深度學習和概率圖模型，她曾擔任多項知名挑戰的評審，例如 Tiger Graph 的「Graph for All - Million Dollar Challenge」和 2022 年的 Intel oneAPI Hackathon。Usha 被《Analytics India Magazine》評選為印度前 10 名數據科學家（2020），並被認為是領先的女性數據科學家，以及 3AI 雜誌的前 150 名人工智慧領導者和影響者。她在該領域中開創了先河。她的倡議包括組織 NeuroAI，印度首個神經科學與數據科學交匯的研究研討會，以及 Neurodiversity India Summit，該國首屆神經多樣性會議。作為自閉症（神經多樣性）的倡導者，Usha 專注於利用人工智慧解決自閉症社群面臨的挑戰。她帶領團隊在 WiDS 2022 Datathon 中獲勝，並在 2022 年獲得 Kaggle ML Research Spotlight，於 2023 年獲得 TensorFlow Community Spotlight。Usha 對將人工智慧應用於醫療保健充滿熱情，並相信其對印度醫療危機的變革潛力。擁有計算機視覺和自然語言處理的深度學習專業知識，她旨在通過增強公共健康監測、實現早期疾病診斷和推進精準醫療來革新心理健康護理。