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The Cambridge Handbook Of The Law Of Algorithms


The Cambridge Handbook Of The Law Of Algorithms
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The Cambridge Handbook Of The Law Of Algorithms


The Cambridge Handbook Of The Law Of Algorithms
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Author : Woodrow Barfield
language : en
Publisher: Cambridge University Press
Release Date : 2020-11-05

The Cambridge Handbook Of The Law Of Algorithms written by Woodrow Barfield and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-05 with Law categories.


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


Algorithms And Law
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Author : Martin Ebers
language : en
Publisher: Cambridge University Press
Release Date : 2023-02-02

Algorithms And Law written by Martin Ebers and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-02 with Law categories.


Algorithms permeate our lives in numerous ways, performing tasks that until recently could only be carried out by humans. Artificial Intelligence (AI) technologies, based on machine learning algorithms and big-data-powered systems, can perform sophisticated tasks such as driving cars, analyzing medical data, and evaluating and executing complex financial transactions - often without active human control or supervision. Algorithms also play an important role in determining retail pricing, online advertising, loan qualification, and airport security. In this work, Martin Ebers and Susana Navas bring together a group of scholars and practitioners from across Europe and the US to analyze how this shift from human actors to computers presents both practical and conceptual challenges for legal and regulatory systems. This book should be read by anyone interested in the intersection between computer science and law, how the law can better regulate algorithmic design, and the legal ramifications for citizens whose behavior is increasingly dictated by algorithms.



The Cambridge Handbook Of Artificial Intelligence


The Cambridge Handbook Of Artificial Intelligence
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Author : Keith Frankish
language : en
Publisher: Cambridge University Press
Release Date : 2014-06-12

The Cambridge Handbook Of Artificial Intelligence written by Keith Frankish and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-12 with Computers categories.


An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists.



The Oxford Handbook Of Ethics Of Ai


The Oxford Handbook Of Ethics Of Ai
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Author : Markus Dirk Dubber
language : en
Publisher:
Release Date : 2020

The Oxford Handbook Of Ethics Of Ai written by Markus Dirk Dubber and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Business & Economics categories.


This interdisciplinary and international handbook captures and shapes much needed reflection on normative frameworks for the production, application, and use of artificial intelligence in all spheres of individual, commercial, social, and public life.



The Cambridge Handbook Of Lawyering In The Digital Age


The Cambridge Handbook Of Lawyering In The Digital Age
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Author : Larry A. DiMatteo
language : en
Publisher: Cambridge University Press
Release Date : 2023-06-30

The Cambridge Handbook Of Lawyering In The Digital Age written by Larry A. DiMatteo and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Law categories.


With increasing digitalization and the evolution of artificial intelligence, the legal profession is on the verge of being transformed by technology (legal tech). This handbook examines these developments and the changing legal landscape by providing perspectives from multiple interested parties, including practitioners, academics, and legal tech companies from different legal systems. Scrutinizing the real implications posed by legal tech, the book advocates for an unbiased, cautious approach for the engagement of technology in legal practice. It also carefully addresses the core question of how to balance fears of industry takeover by technology with the potential for using legal tech to expand services and create value for clients. Together, the chapters develop a framework for analyzing the costs and benefits of new technologies before they are implemented in legal practice. This interdisciplinary collection features contributions from lawyers, social scientists, institutional officials, technologists, and current developers of e-law platforms and services.



Understanding Machine Learning


Understanding Machine Learning
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Author : Shai Shalev-Shwartz
language : en
Publisher: Cambridge University Press
Release Date : 2014-05-19

Understanding Machine Learning written by Shai Shalev-Shwartz and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-19 with Computers categories.


Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.



Just Algorithms


Just Algorithms
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Author : Christopher Slobogin
language : en
Publisher: Cambridge University Press
Release Date : 2021-07-29

Just Algorithms written by Christopher Slobogin and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-29 with Law categories.


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 Computing Education Research


The Cambridge Handbook Of Computing Education Research
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Author : Sally A. Fincher
language : en
Publisher:
Release Date : 2019-02-13

The Cambridge Handbook Of Computing Education Research written by Sally A. Fincher and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-13 with Computers categories.


This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.



Information Theory Inference And Learning Algorithms


Information Theory Inference And Learning Algorithms
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Author : David J. C. MacKay
language : en
Publisher: Cambridge University Press
Release Date : 2003-09-25

Information Theory Inference And Learning Algorithms written by David J. C. MacKay and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-25 with Computers categories.


Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.



Algorithmic Regulation


Algorithmic Regulation
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Author : Karen Yeung
language : en
Publisher: Oxford University Press
Release Date : 2019-09-12

Algorithmic Regulation written by Karen Yeung and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-12 with Law categories.


As the power and sophistication of of 'big data' and predictive analytics has continued to expand, so too has policy and public concern about the use of algorithms in contemporary life. This is hardly surprising given our increasing reliance on algorithms in daily life, touching policy sectors from healthcare, transport, finance, consumer retail, manufacturing education, and employment through to public service provision and the operation of the criminal justice system. This has prompted concerns about the need and importance of holding algorithmic power to account, yet it is far from clear that existing legal and other oversight mechanisms are up to the task. This collection of essays, edited by two leading regulatory governance scholars, offers a critical exploration of 'algorithmic regulation', understood both as a means for co-ordinating and regulating social action and decision-making, as well as the need for institutional mechanisms through which the power of algorithms and algorithmic systems might themselves be regulated. It offers a unique perspective that is likely to become a significant reference point for the ever-growing debates about the power of algorithms in daily life in the worlds of research, policy and practice. The range of contributors are drawn from a broad range of disciplinary perspectives including law, public administration, applied philosophy, data science and artificial intelligence. Taken together, they highlight the rise of algorithmic power, the potential benefits and risks associated with this power, the way in which Sheila Jasanoff's long-standing claim that 'technology is politics' has been thrown into sharp relief by the speed and scale at which algorithmic systems are proliferating, and the urgent need for wider public debate and engagement of their underlying values and value trade-offs, the way in which they affect individual and collective decision-making and action, and effective and legitimate mechanisms by and through which algorithmic power is held to account.