The Ethical Algorithm

书名：The Ethical AlgorithmTheScienceofSociallyAwareAlgorithmDesign
作者：MichaelKearns/AaronRoth
译者：
ISBN：9780190948207
出版社：OxfordUniversityPress
出版时间：2019-11
格式：epub/mobi/azw3/pdf
页数：232
豆瓣评分：

书籍简介：

Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code – without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.

作者简介：

Michael Kearns is Professor and the National Center Chair in the Computer and Information Science department of the University of Pennsylvania, where he has secondary appointments in Economics and the Wharton School. He is also the Founding Director of Penn's Warren Center for Network and Data Sciences. Kearns has published widely in machine learning, artificial intelligence, algorithmic game theory and quantitative finance. He has worked extensively in the finance and technology industries, and consulted on various legal and regulatory matters involving algorithms, data, and machine learning. Together with U.V. Vazirani, he is the author of An Introduction to Computational Learning Theory.

Aaron Roth is the class of 1940 Bicentennial Term Associate Professor in the Computer and Information Science department at the University of Pennsylvania, where he co-directs Penn's program in Networked and Social Systems Engineering. Roth has published widely in algorithms, machine learning, data privacy, and algorithmic game theory, and has consulted extensively about algorithmic privacy. He is the recipient of numerous awards, including a Presidential Early Career Award for Scientists and Engineers (PECASE) awarded by President Obama in 2016. Together with Cynthia Dwork, he is the author of The Algorithmic Foundations of Differential Privacy.

书友短评：

@ 陆壹肆 读逻辑严谨的书极度舒适（不过我觉得前两章更为舒适…）。里面例子很多，也很不错，所以对于非CS专业的我来说，即使有些部分我没有完全理解，我也能大概了解——这部分也不多，主要在第四章里。给的观点对我来说是新鲜的：把“道德”用算法表达出来，以此来让算法拥有“道德”。但后半本书明显感觉有点偏离，开始散漫，也是扣一星的主要原因。 @ 綦 More than ever before, we could learn some sharp ethics/morality lessons through the backpropagation of a digitized Schopenhauerian neural network. @ ichbinluz 作者写作能力好强，完美展现如何用大白话循序渐进述专业性内容，个人感觉挺适合引进做科普的，privacy也是社会话题热点，还提了baidu Minwa事件。没有公式，概念诸如差分隐私、协同过滤、信息回音室等和举例也都是描述性语句。 @ Prunus d 学习完了，意外地有不少硬货收获。虽然有那种“老师先讲个2+2=4，走神一分钟之后变成了偏微分方程”的既视感，但作者还是很有效地在解释算法原理，以及算法对应的“社会问题本质”。关于公平和预测的两章值得一看，以及让算法变得更好的下一步，不一定是管这管那，儿是让我们把公平和效率一起翻译成算法语言。 @ 榛榛榛子_ 内容涵盖面广，是很好的fair-ml的科普，更重要的是作者的写作能力优秀，深入浅出，论据详尽，致谢之后还有补充阅读的推荐，这个模板值得每一个和非科技背景的人打交道的数据/计算机科学家借鉴~ @ Prunus d 学习完了，意外地有不少硬货收获。虽然有那种“老师先讲个2+2=4，走神一分钟之后变成了偏微分方程”的既视感，但作者还是很有效地在解释算法原理，以及算法对应的“社会问题本质”。关于公平和预测的两章值得一看，以及让算法变得更好的下一步，不一定是管这管那，儿是让我们把公平和效率一起翻译成算法语言。 @ 榛榛榛子_ 内容涵盖面广，是很好的fair-ml的科普，更重要的是作者的写作能力优秀，深入浅出，论据详尽，致谢之后还有补充阅读的推荐，这个模板值得每一个和非科技背景的人打交道的数据/计算机科学家借鉴~ @ ichbinluz 作者写作能力好强，完美展现如何用大白话循序渐进述专业性内容，个人感觉挺适合引进做科普的，privacy也是社会话题热点，还提了baidu Minwa事件。没有公式，概念诸如差分隐私、协同过滤、信息回音室等和举例也都是描述性语句。 @ Antarcticite 这个书属于AI伦理道德，比较硬核，不适合作为科普读物 @ 陆壹肆 读逻辑严谨的书极度舒适（不过我觉得前两章更为舒适…）。里面例子很多，也很不错，所以对于非CS专业的我来说，即使有些部分我没有完全理解，我也能大概了解——这部分也不多，主要在第四章里。给的观点对我来说是新鲜的：把“道德”用算法表达出来，以此来让算法拥有“道德”。但后半本书明显感觉有点偏离，开始散漫，也是扣一星的主要原因。

Introduction
Chapter 1: Algorithmic Privacy: The Power of Randomization
Chapter 2: Fairness: Discriminating Algorithms
Chapter 3: Games People Play (With Algorithms)
Chapter 4: Lost in the Garden: Led Astray by Data
Chapter 5: Risky Business: Interpretability, Morality, and the Singularity
Some Concluding Thoughts
Acknowledgements
Notes
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