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The Ethical Algorithm

The Ethical Algorithm PDF Author: Michael Kearns
Publisher: Oxford University Press
ISBN: 0190948221
Category : Computers
Languages : en
Pages : 288

Book Description
Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.

The Ethical Algorithm

The Ethical Algorithm PDF Author: Michael Kearns
Publisher: Oxford University Press
ISBN: 0190948221
Category : Computers
Languages : en
Pages : 288

Book Description
Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.

The Algorithmic Code of Ethics

The Algorithmic Code of Ethics PDF Author: Jerome Beranger
Publisher: John Wiley & Sons
ISBN: 178630306X
Category : Social Science
Languages : en
Pages : 288

Book Description
The technical progress illustrated by the development of Artificial Intelligence (AI), Big Data technologies, the Internet of Things (IoT), online platforms, NBICs, autonomous expert systems, and the Blockchain let appear the possibility of a new world and the emergence of a fourth industrial revolution centered around digital data. Therefore, the advent of digital and its omnipresence in our modern society create a growing need to lay ethical benchmarks against this new religion of data, the "dataisme".

Algorithmic Ethics

Algorithmic Ethics PDF Author: Michael Filimowicz
Publisher: Taylor & Francis
ISBN: 1000924793
Category : Social Science
Languages : en
Pages : 90

Book Description
This book focuses on how new technologies are raising and reshaping ethical questions and practices that aim to automate ethics into program outputs. With new powerful technologies come enhanced capacities to act, which in turn require new ethical concepts for guiding just and fair actions in the use of these new capabilities. The new algorithmic regimes, for their ethical articulation, build on prior ethics discourses in computer and information ethics, as well as the philosophical traditions of ethics generally. Especially as our technologies become more autonomous, operating alongside us in the home, workplace or on the roads, ethics has the potential to limit negative effects and shape the new technical terrains in a more humanly recognizable way. The volume covers a critique of human-centered AI, the effects of AI and the Internet of Things in the domain of human resource management, how decentralized finance applications on the blockchain encode ethical norms into “smart contracts,” and the personal surveillance risks of audio beacon technology operating invisibly in our cellphones. Scholars and students from many backgrounds, as well as policy makers, journalists and the general reading public will find a multidisciplinary approach to questions posed by research in algorithmic ethics from the fields of management, sociology, social policy, public service, religion and interactive media.

Algorithms and Autonomy

Algorithms and Autonomy PDF Author: Alan Rubel
Publisher: Cambridge University Press
ISBN: 1108841813
Category : Computers
Languages : en
Pages : 217

Book Description
This book examines how algorithms in criminal justice, education, housing, elections and beyond affect autonomy, freedom, and democracy. This title is also available as Open Access on Cambridge Core.

Algorithmic Governance and Governance of Algorithms

Algorithmic Governance and Governance of Algorithms PDF Author: Martin Ebers
Publisher: Springer Nature
ISBN: 3030505596
Category : Law
Languages : en
Pages : 174

Book Description
Algorithms are now widely employed to make decisions that have increasingly far-reaching impacts on individuals and society as a whole (“algorithmic governance”), which could potentially lead to manipulation, biases, censorship, social discrimination, violations of privacy, property rights, and more. This has sparked a global debate on how to regulate AI and robotics (“governance of algorithms”). This book discusses both of these key aspects: the impact of algorithms, and the possibilities for future regulation.

The Oxford Handbook of Ethics of AI

The Oxford Handbook of Ethics of AI PDF Author: Markus Dirk Dubber
Publisher: Oxford Handbooks
ISBN: 019006739X
Category : Business & Economics
Languages : en
Pages : 896

Book Description
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 Ethical Algorithm

The Ethical Algorithm PDF Author: Michael Kearns
Publisher: Oxford University Press, USA
ISBN: 0190948205
Category : Business & Economics
Languages : en
Pages : 229

Book Description
Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.

Algorithmic Discrimination and Ethical Perspective of Artificial Intelligence

Algorithmic Discrimination and Ethical Perspective of Artificial Intelligence PDF Author: Muharrem Kılıç
Publisher: Springer Nature
ISBN: 9819963273
Category :
Languages : en
Pages : 231

Book Description


Ethics of Algorithms. Ethical Challenges and Outcomes of Algorithmic Decision-Making

Ethics of Algorithms. Ethical Challenges and Outcomes of Algorithmic Decision-Making PDF Author: Anastasia Kabushka
Publisher: GRIN Verlag
ISBN: 3346433633
Category : Business & Economics
Languages : en
Pages : 17

Book Description
Seminar paper from the year 2019 in the subject Business economics - Business Ethics, Corporate Ethics, grade: 1,3, University of Hamburg, language: English, abstract: This study tries to answer these questions and investigates the ethical challenges of ADM (Algorithm Decision Making) arisen in the context of ethical decision-making and their ethical outcomes. Algorithms and algorithmic decision-making simplify and improve people's lives and create new values for our society. ADM is used by banks to establish creditworthiness or by the police to calculate the likelihood of future crimes. It is used in agriculture, aviation, the insurance industry, and many other business areas. ADM is becoming increasingly essential and plays a crucial role in our daily life. However, the use of algorithms is not just about opportunities and benefits. ADM hides significant risks and creates further ethical challenges. The ethics of algorithms is a provocative topic that causes a lot of controversies. As well as the application of ADM in the ethical context. Is it ethical to use algorithmic decision-making? Is the decision-maker "moral aware" of applying ADM?. Does moral awareness about the ethical implications of ADM always lead to ethical decisions?

Ethics in Artificial Intelligence: Bias, Fairness and Beyond

Ethics in Artificial Intelligence: Bias, Fairness and Beyond PDF Author: Animesh Mukherjee
Publisher: Springer Nature
ISBN: 9819971845
Category : Technology & Engineering
Languages : en
Pages : 150

Book Description
This book is a collection of chapters in the newly developing area of ethics in artificial intelligence. The book comprises chapters written by leading experts in this area which makes it a one of its kind collections. Some key features of the book are its unique combination of chapters on both theoretical and practical aspects of integrating ethics into artificial intelligence. The book touches upon all the important concepts in this area including bias, discrimination, fairness, and interpretability. Integral components can be broadly divided into two segments – the first segment includes empirical identification of biases, discrimination, and the ethical concerns thereof in impact assessment, advertising and personalization, computational social science, and information retrieval. The second segment includes operationalizing the notions of fairness, identifying the importance of fairness in allocation, clustering and time series problems, and applications of fairness in software testing/debugging and in multi stakeholder platforms. This segment ends with a chapter on interpretability of machine learning models which is another very important and emerging topic in this area.