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The Cambridge Handbook of the Law of Algorithms

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Release : 2020-11-05
Genre : Law
Kind : eBook
Book Rating : 184/5 ( reviews)

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Book Synopsis The Cambridge Handbook of the Law of Algorithms by : Woodrow Barfield

Download or read book The Cambridge Handbook of the Law of Algorithms written by Woodrow Barfield. This book was released on 2020-11-05. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms are a fundamental building block of artificial intelligence - and, increasingly, society - but our legal institutions have largely failed to recognize or respond to this reality. The Cambridge Handbook of the Law of Algorithms, which features contributions from US, EU, and Asian legal scholars, discusses the specific challenges algorithms pose not only to current law, but also - as algorithms replace people as decision makers - to the foundations of society itself. The work includes wide coverage of the law as it relates to algorithms, with chapters analyzing how human biases have crept into algorithmic decision-making about who receives housing or credit, the length of sentences for defendants convicted of crimes, and many other decisions that impact constitutionally protected groups. Other issues covered in the work include the impact of algorithms on the law of free speech, intellectual property, and commercial and human rights law.

Algorithms and Law

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Release : 2020-07-23
Genre : Computers
Kind : eBook
Book Rating : 821/5 ( reviews)

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Book Synopsis Algorithms and Law by : Martin Ebers

Download or read book Algorithms and Law written by Martin Ebers. This book was released on 2020-07-23. Available in PDF, EPUB and Kindle. Book excerpt: Exploring issues from big-data to robotics, this volume is the first to comprehensively examine the regulatory implications of AI technology.

Just Algorithms

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Release : 2021-07-29
Genre : Law
Kind : eBook
Book Rating : 809/5 ( reviews)

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Book Synopsis Just Algorithms by : Christopher Slobogin

Download or read book Just Algorithms written by Christopher Slobogin. This book was released on 2021-07-29. Available in PDF, EPUB and Kindle. Book excerpt: Statistically-derived algorithms, adopted by many jurisdictions in an effort to identify the risk of reoffending posed by criminal defendants, have been lambasted as racist, de-humanizing, and antithetical to the foundational tenets of criminal justice. Just Algorithms argues that these attacks are misguided and that, properly regulated, risk assessment tools can be a crucial means of safely and humanely dismantling our massive jail and prison complex. The book explains how risk algorithms work, the types of legal questions they should answer, and the criteria for judging whether they do so in a way that minimizes bias and respects human dignity. It also shows how risk assessment instruments can provide leverage for curtailing draconian prison sentences and the plea-bargaining system that produces them. The ultimate goal of Christopher Slobogin's insightful analysis is to develop the principles that should govern, in both the pretrial and sentencing settings, the criminal justice system's consideration of risk.

The Cambridge Handbook of Policing in the United States

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Release : 2019-07-04
Genre : Law
Kind : eBook
Book Rating : 559/5 ( reviews)

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Book Synopsis The Cambridge Handbook of Policing in the United States by : Tamara Rice Lave

Download or read book The Cambridge Handbook of Policing in the United States written by Tamara Rice Lave. This book was released on 2019-07-04. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive collection on police and policing, written by experts in political theory, sociology, criminology, economics, law, public health, and critical theory.

Understanding Machine Learning

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Release : 2014-05-19
Genre : Computers
Kind : eBook
Book Rating : 132/5 ( reviews)

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Book Synopsis Understanding Machine Learning by : Shai Shalev-Shwartz

Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz. This book was released on 2014-05-19. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

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