Exploring issues from big-data to robotics, this volume is the first to comprehensively examine the regulatory implications of AI technology.

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.

The Threats of Algorithms and A.I. to Civil Rights, Legal Remedies, and American Jurisprudence addresses the many threats to American jurisprudence caused by the growing use of algorithms and artificial intelligence (A.I.). Although algorithms prove valuable to society, that value may also lead to the destruction of the foundations of American jurisprudence by threatening constitutional rights of individuals, creating new liabilities for business managers and board members, disrupting commerce, interfering with long-standing legal remedies, and causing chaos in courtrooms trying to adjudge lawsuits. Alfred R. Cowger, Jr. explains these threats and provides potential solutions for both the general public and legal practitioners. Scholars of legal studies, media studies, and political science will find this book particularly useful.

Digitization, blockchain technology and Artificial Intelligence (AI) are fundamentally changing the fabric of societies, influencing lawmaking, legal scholarship and legal practice. The authors of this volume investigate the real-world developments that can be observed in this process, how established legal doctrines are being challenged, the regulatory issues societies face as a result, and how AI can be used in lawmaking and adjudication. By analyzing these four interrelated areas, the authors discuss conceptual issues of regulating AI, examine the impact of new technologies on commercial transactions and corporate governance, investigate civil liability rules for AI applications and explore key features and problems of digital dispute resolution. A recurring theme is that although Law by Algorithm might massively increase overall societal welfare, it runs the significant risk of benefitting only a few. To make it work for the good of all is a mammoth task - and one this volume hopes to contribute to.

We live in a world of one-size-fits-all law. People are different, but the laws that govern them are uniform. "Personalized Law"---rules that vary person by person---will change that. Here is a vision of a brave new world, where each person is bound by their own personally-tailored law. "Reasonable person" standards would be replaced by a multitude of personalized commands, each individual with their own "reasonable you" rule. Skilled doctors would be held to higher standards of care, the most vulnerable consumers and employees would receive stronger protections, age restrictions for driving or for the consumption of alcohol would vary according the recklessness risk that each person poses, and borrowers would be entitled to personalized loan disclosures tailored to their unique needs and delivered in a format fitting their mental capacity. The data and algorithms to administer personalize law are at our doorstep, and embryos of this regime are sprouting. Should we welcome this transformation of the law? Does personalized law harbor a utopic promise, or would it produce alienation, demoralization, and discrimination? This book is the first to explore personalized law, offering a vision of law and robotics that delegates to machines those tasks humans are least able to perform well. It inquires how personalized law can be designed to deliver precision and justice and what pitfalls the regime would have to prudently avoid. In this book, Omri Ben-Shahar and Ariel Porat not only present this concept in a clear, easily accessible way, but they offer specific examples of how personalized law may be implemented across a variety of real-life applications.

New technologies have always challenged the social, economic, legal, and ideological status quo. Constitutional law is no less impacted by such technologically driven transformations, as the state must formulate a legal response to new technologies and their market applications, as well as the state's own use of new technology. In particular, the development of data collection, data mining, and algorithmic analysis by public and private actors present unique challenges to public law at the doctrinal as well as the theoretical level. This collection, aimed at legal scholars and practitioners, describes the constitutional challenges created by the algorithmic society. It offers an important synthesis of the state of play in law and technology studies, addressing the challenges for fundamental rights and democracy, the role of policy and regulation, and the responsibilities of private actors. This title is also available as Open Access on Cambridge Core.

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.