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Author: Stefan Schäferling
Publisher: Springer Nature
ISBN: 3031481259
Category : Law
Languages : en
Pages : 312
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Book Description
With the growing capabilities of artificial intelligence, governments are integrating AI technologies into administrative and even judicial decision-making, aiding and in some cases even replacing human decision-makers. Predictive policing, automated benefits administration, and automated risk assessment in criminal sentencing are but a few prominent examples of a general trend. While the turn towards governmental automated decision-making promises to reduce the impact of human biases and produce efficiency gains, reducing the human element in governmental decision-making also entails significant risks. This book analyses these risks through a comparative constitutional law and human rights lens, examining US law, German law, and international human rights law. It also highlights the structural challenges that automation poses for legal systems built on the assumption of exclusively human decision-making. Special attention is paid to the question whether existing law can adequately address the lack of transparency in governmental automated decision-making, its discriminatory processes and outcomes, as well as its fundamental challenge to human agency. Building on that analysis, it proposes a path towards securing the values of human dignity and agency at the heart of democratic societies and the rule of law in an increasingly automated world. This book will be of interest to researchers and scholars focusing on the evolving relationship of law and technology as well as human rights scholars. Further, it represents a valuable contribution to the debate on the regulation of artificial intelligence and the role human rights can play in that process.
Author: Stefan Schäferling
Publisher: Springer Nature
ISBN: 3031481259
Category : Law
Languages : en
Pages : 312
Get Book Here
Book Description
With the growing capabilities of artificial intelligence, governments are integrating AI technologies into administrative and even judicial decision-making, aiding and in some cases even replacing human decision-makers. Predictive policing, automated benefits administration, and automated risk assessment in criminal sentencing are but a few prominent examples of a general trend. While the turn towards governmental automated decision-making promises to reduce the impact of human biases and produce efficiency gains, reducing the human element in governmental decision-making also entails significant risks. This book analyses these risks through a comparative constitutional law and human rights lens, examining US law, German law, and international human rights law. It also highlights the structural challenges that automation poses for legal systems built on the assumption of exclusively human decision-making. Special attention is paid to the question whether existing law can adequately address the lack of transparency in governmental automated decision-making, its discriminatory processes and outcomes, as well as its fundamental challenge to human agency. Building on that analysis, it proposes a path towards securing the values of human dignity and agency at the heart of democratic societies and the rule of law in an increasingly automated world. This book will be of interest to researchers and scholars focusing on the evolving relationship of law and technology as well as human rights scholars. Further, it represents a valuable contribution to the debate on the regulation of artificial intelligence and the role human rights can play in that process.
Author: Janina Boughey
Publisher:
ISBN: 9781760022952
Category :
Languages : en
Pages :
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Book Description
Author: Natalie Heisler
Publisher: CRC Press
ISBN: 100092758X
Category : Computers
Languages : en
Pages : 105
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Book Description
Governments around the world use machine learning in automated decision-making systems for a broad range of functions. However, algorithmic bias in machine learning can result in automated decisions that produce disparate impact and may compromise Charter guarantees of substantive equality. This book seeks to answer the question: what standards should be applied to machine learning to mitigate disparate impact in government use of automated decision-making? The regulatory landscape for automated decision-making, in Canada and across the world, is far from settled. Legislative and policy models are emerging, and the role of standards is evolving to support regulatory objectives. While acknowledging the contributions of leading standards development organizations, the authors argue that the rationale for standards must come from the law and that implementing such standards would help to reduce future complaints by, and would proactively enable human rights protections for, those subject to automated decision-making. The book presents a proposed standards framework for automated decision-making and provides recommendations for its implementation in the context of the government of Canada’s Directive on Automated Decision-Making. As such, this book can assist public agencies around the world in developing and deploying automated decision-making systems equitably as well as being of interest to businesses that utilize automated decision-making processes.
Author: Rikke Frank Jorgensen
Publisher: MIT Press
ISBN: 0262039052
Category : Social Science
Languages : en
Pages : 391
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Book Description
Scholars from across law and internet and media studies examine the human rights implications of today's platform society. Today such companies as Apple, Facebook, Google, Microsoft, and Twitter play an increasingly important role in how users form and express opinions, encounter information, debate, disagree, mobilize, and maintain their privacy. What are the human rights implications of an online domain managed by privately owned platforms? According to the Guiding Principles on Business and Human Rights, adopted by the UN Human Right Council in 2011, businesses have a responsibility to respect human rights and to carry out human rights due diligence. But this goal is dependent on the willingness of states to encode such norms into business regulations and of companies to comply. In this volume, contributors from across law and internet and media studies examine the state of human rights in today's platform society. The contributors consider the “datafication” of society, including the economic model of data extraction and the conceptualization of privacy. They examine online advertising, content moderation, corporate storytelling around human rights, and other platform practices. Finally, they discuss the relationship between human rights law and private actors, addressing such issues as private companies' human rights responsibilities and content regulation. Contributors Anja Bechmann, Fernando Bermejo, Agnès Callamard, Mikkel Flyverbom, Rikke Frank Jørgensen, Molly K. Land, Tarlach McGonagle, Jens-Erik Mai, Joris van Hoboken, Glen Whelan, Jillian C. York, Shoshana Zuboff, Ethan Zuckerman Open access edition published with generous support from Knowledge Unlatched and the Danish Council for Independent Research.
Author: Thomas Wischmeyer
Publisher: Springer Nature
ISBN: 3030323617
Category : Law
Languages : en
Pages : 391
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Book Description
This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed. By gathering contributions from scholars who are experts in their respective fields of legal research, it demonstrates that AI regulation is not a specialized sub-discipline, but affects the entire legal system and thus concerns all lawyers. Machine learning-based technology, which lies at the heart of what is commonly referred to as AI, is increasingly being employed to make policy and business decisions with broad social impacts, and therefore runs the risk of causing wide-scale damage. At the same time, AI technology is becoming more and more complex and difficult to understand, making it harder to determine whether or not it is being used in accordance with the law. In light of this situation, even tech enthusiasts are calling for stricter regulation of AI. Legislators, too, are stepping in and have begun to pass AI laws, including the prohibition of automated decision-making systems in Article 22 of the General Data Protection Regulation, the New York City AI transparency bill, and the 2017 amendments to the German Cartel Act and German Administrative Procedure Act. While the belief that something needs to be done is widely shared, there is far less clarity about what exactly can or should be done, or what effective regulation might look like. The book is divided into two major parts, the first of which focuses on features common to most AI systems, and explores how they relate to the legal framework for data-driven technologies, which already exists in the form of (national and supra-national) constitutional law, EU data protection and competition law, and anti-discrimination law. In the second part, the book examines in detail a number of relevant sectors in which AI is increasingly shaping decision-making processes, ranging from the notorious social media and the legal, financial and healthcare industries, to fields like law enforcement and tax law, in which we can observe how regulation by AI is becoming a reality.
Author:
Publisher: Oxford University Press
ISBN: 0198919565
Category : Law
Languages : en
Pages : 335
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Book Description
Governance of Automated Decision-Making and EU Law presents a comprehensive and nuanced exploration of the intricate relationship between technological innovation and democratic governance in Europe. Focused on preserving constitutional values within the European Union, the book rigorously examines the profound impact of information technologies on rule-making and decision-making processes. The dual objectives of the volume are to comprehensively explore the impact of innovative information technologies on the EU's public law and to devise future-proof regulatory strategies in the face of rapid technological advancements. Addressing the spread of information technology and automated decision-making processes across EU policy sectors, the work delves into potential risks to democratic principles and accountability standards. Advocating for a comprehensive approach, the volume integrates legal, policy, and technological considerations to establish accountability standards for automated decision-making systems. Tailored for academics, researchers, and policymakers, Governance of Automated Decision-Making and EU Law provides a vital resource for understanding the complexities and opportunities associated with the digitalization of shared administration in the EU. It contributes significantly to the ongoing discourse on safeguarding constitutional values and principles of good governance in the digital era. The findings underscore the interconnectedness of information systems across EU-regulated policy areas and the risks posed by automated decision-making systems. Urging attention to transparency and accountability, the book addresses these concerns through eleven chapters, offering insights into normative requirements, administrative procedures, market regulation, digital health, borders and immigration, political advertising, interoperability framework, AI technology, and their intersection with legal principles. This is an open-access title available under the terms of a CC BY-NC-ND 4.0 International license.
Author: Zofia Bednarz
Publisher:
ISBN: 100933428X
Category : Law
Languages : en
Pages : 264
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Book Description
In this ambitious collection, Zofia Bednarz and Monika Zalnieriute bring together leading experts to shed light on how artificial intelligence (AI) and automated decision-making (ADM) create new sources of profits and power for financial firms and governments. Chapter authors-which include public and private lawyers, social scientists, and public officials working on various aspects of AI and automation across jurisdictions-identify mechanisms, motivations, and actors behind technology used by Automated Banks and Automated States, and argue for new rules, frameworks, and approaches to prevent harms that result from the increasingly common deployment of AI and ADM tools. Responding to the opacity of financial firms and governments enabled by AI, Money, Power and AI advances the debate on scrutiny of power and accountability of actors who use this technology. This title is available as Open Access on Cambridge Core.
Author: Rajan Gupta
Publisher: Springer Nature
ISBN: 9811602824
Category : Political Science
Languages : en
Pages : 199
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Book Description
The world is changing at a fast pace, so is the Government and Governance style. Humans are bound to go for Algorithmic strategies rather than manual or electronic ones in different domains. This book introduces the Algorithmic Government or Government by Algorithm, which refers to authorizing machines in the Public Sector for automated decision-making based on Artificial Intelligence, Data Science, and other technologies. It is an emerging concept introduced globally and will be considered revolutionary in the future. The book covers concepts, applications, progress status, and potential use-cases of Algorithmic Government. This book serves as introductory material for the readers from technology, public policy, administration, and management fields.
Author: Peter Cane
Publisher: Oxford University Press, USA
ISBN: 0198799985
Category : Law
Languages : en
Pages : 1169
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Book Description
In this Handbook, distinguished experts in the field of administrative law discuss a wide range of issues from a comparative perspective. The book covers the historical beginnings of comparative administrative law scholarship, and discusses important methodological issues and basic concepts such as administrative power and accountability.
Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 25
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Book Description
Given growing investment capital in research and development, accompanied by extensive literature on the subject by researchers in nearly every domain from civil engineering to legal studies, automated decision-support systems (ADM) are likely to see a place in the foreseeable future. Artificial intelligence (AI), as an automated system, can be defined as [a]broad range of computerized tasks designed to replicate human neural networks, store and organize large quantities of information, detect patterns, and make predictions with increasing accuracy and reliability. By itself, artificial intelligence is not quite science-fiction tropes (i.e. an uncontrollable existential threat to humanity) yet not without real-world implications. The fears that come from machines operating autonomously are justified in many ways given their ability to worsen existing inequalities, collapse financial markets (the 2010 "flash crash"), erode trust in societal institutions, and pose threats to physical safety. Still, even when applied in complex social environments, the political and legal mechanisms for dealing with the risks and harms that are likely to arise from artificial intelligence are not obsolete. As this paper seeks to demonstrate, other Information Age technologies have introduced comparable issues. However, the dominant market-based approach to regulation is insufficient in dealing with issues related to artificial intelligence because of the unique risks they pose to civil liberties and human rights. Assuming the government has a role in protecting values and ensuring societal well-being, in this paper, I work toward an alternative regulatory approach that focuses on regulating the commercial side of automated decision-making and machine learning techniques.
