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Classification

323.44/5 22 (GBV;LoC)

DDC

323.44/5 22 (GBV;LoC)

Footnote

The book also includes an index, a selected bibliography, and endnotes for each article. More information on the authors of the articles would have been useful, however. One of the best features of Information Ethics is the discussion cases at the end of each chapter. For instance, in the discussion cases, Moore asks questions like: Would you allow one person to die to save nine? Should a scientist be allowed to experiment on people without their knowledge if there is no harm? Should marriages between people carrying a certain gene be outlawed? These discussion cases really add to the value of the readings. The only suggestion would be to have put them at the beginning of each section so the reader could have the questions floating in their heads as they read the material. Information Ethics is a well thought out and organized collection of articles. Moore has done an excellent job of finding articles to provide a fair and balanced look at a variety of complicated and far-reaching topics. Further, the work has breadth and depth. Moore is careful to include enough historical articles, like the 1890 Warren article, to give balance and perspective to new and modern topics like E-mail surveillance, biopiracy, and genetics. This provides a reader with just enough philosophy and history theory to work with the material. The articles are written by a variety of authors from differing fields so they range in length, tone, and style, creating a rich tapestry of ideas and arguments. However, this is not a quick or easy read. The subject matter is complex and one should plan to spend time with the book. The book is well worth the effort though. Overall, this is a highly recommended work for all libraries especially academic ones."

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Abstract

Algorithms influence every facet of modern life: criminal justice, education, housing, entertainment, elections, social media, news feeds, work... the list goes on. Delegating important decisions to machines, however, gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. Algorithms and Autonomy connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference. Using these case studies, the authors provide a better understanding of machine fairness and algorithmic transparency. They explain why interventions in algorithmic systems are necessary to ensure that algorithms are not used to control citizens' participation in politics and undercut democracy. This title is also available as Open Access on Cambridge Core