Real World AI Ethics for Data Scientists: Practical Case Studies
暫譯: 數據科學家的實務AI倫理：案例研究
Goltz, Dowdeswell, Tracey
相關主題
商品描述
In the midst of the fourth industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists - the modern AI alchemists. But great power comes with greater responsibility. This book seeks to shape, in a practical, diverse, and inclusive way, the ethical compass of those entrusted with big data.
Being practical, this book provides seven real-world case studies dealing with big data abuse. These cases span a range of topics from the statistical manipulation of research in the Cornell food lab through the Facebook user data abuse done by Cambridge Analytica to the abuse of farm animals by AI in a chapter co-authored by renowned philosophers Peter Singer and Yip Fai Tse. Diverse and inclusive, given the global nature of this revolution, this book provides case-by-case commentary on the cases by scholars representing non-Western ethical approaches (Buddhist, Jewish, Indigenous, and African) as well as Western approaches (consequentialism, deontology, and virtue).
We hope this book will be a lighthouse for those debating ethical dilemmas in this challenging and ever-evolving field.
商品描述(中文翻譯)
在第四次工業革命的浪潮中，大數據如同黃金般珍貴，將巨大的權力交到數據科學家手中——這些現代的人工智慧煉金術士。然而，巨大的權力伴隨著更大的責任。本書旨在以實用、多元和包容的方式，塑造那些被託付於大數據的人的倫理指南針。
本書提供七個與大數據濫用相關的真實案例研究，這些案例涵蓋了從康奈爾食品實驗室的研究統計操控，到劍橋分析公司對Facebook用戶數據的濫用，再到由著名哲學家彼得·辛格（Peter Singer）和謝逸輝（Yip Fai Tse）共同撰寫的章節中，人工智慧對農場動物的濫用等多個主題。考慮到這場革命的全球性，本書提供了針對每個案例的評論，這些評論來自代表非西方倫理觀點（如佛教、猶太教、原住民和非洲）的學者，以及西方的倫理觀點（如結果主義、義務論和美德論）。
我們希望本書能成為那些在這個充滿挑戰和不斷演變的領域中辯論倫理困境的人的燈塔。
作者簡介
Nachshon (Sean) Goltz is an academic, entrepreneur and lawyer. His main interest is in the intersection of ethics, technology and history.
Tracey Dowdeswell is a Professor of criminology and legal studies at Douglas College. Her research interests focus on the intersection between law and data science.
作者簡介(中文翻譯)
Nachshon (Sean) Goltz 是一位學者、企業家和律師。他的主要興趣在於倫理、科技與歷史的交集。Tracey Dowdeswell 是道格拉斯學院的犯罪學與法律研究教授。她的研究興趣集中在法律與數據科學的交集上。
