Algorithm Audit: Why, What and How?

Algorithm Audit: Why, What and How? PDF Author: Biagio Aragona
Publisher: Routledge
ISBN: 1000461319
Category : Social Science
Languages : en
Pages : 123

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Book Description
Seeking to increasing the social awareness of citizens, institutions, and corporations with regard to the risks presented by the acritical use of algorithms in decision-making, this book explains the rationale and the methods of algorithm audit. Interdisciplinary in approach, it provides a systematic overview of the subject, supplying readers with clear definitions and practical tools for the audit of algorithms, while also taking account of the political, business, and vocational obstacles to the development of this new field. As such, it constitutes an essential resource for students and researchers across the social sciences and humanities, as well as for professionals and policymakers, with concerns about the social consequences of algorithmic decision-making.

Algorithm Audit: Why, What and How?

Algorithm Audit: Why, What and How? PDF Author: Biagio Aragona
Publisher: Routledge
ISBN: 1000461319
Category : Social Science
Languages : en
Pages : 123

Get Book Here

Book Description
Seeking to increasing the social awareness of citizens, institutions, and corporations with regard to the risks presented by the acritical use of algorithms in decision-making, this book explains the rationale and the methods of algorithm audit. Interdisciplinary in approach, it provides a systematic overview of the subject, supplying readers with clear definitions and practical tools for the audit of algorithms, while also taking account of the political, business, and vocational obstacles to the development of this new field. As such, it constitutes an essential resource for students and researchers across the social sciences and humanities, as well as for professionals and policymakers, with concerns about the social consequences of algorithmic decision-making.

Auditing Algorithms

Auditing Algorithms PDF Author: Danaë Metaxa
Publisher:
ISBN: 9781680839173
Category : Algorithms
Languages : en
Pages : 81

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Book Description
In this work, the authors present an overview of the algorithm audit methodology. They include the history of audit studies in the social sciences from which this method is derived; a summary of key algorithm audits over the last two decades in a variety of domains such as health, politics, and discrimination.

Algorithm Audit: Why, What, and How?

Algorithm Audit: Why, What, and How? PDF Author: Biagio Aragona
Publisher: Routledge
ISBN: 1000461270
Category : Social Science
Languages : en
Pages : 98

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Book Description
Seeking to increasing the social awareness of citizens, institutions, and corporations with regard to the risks presented by the acritical use of algorithms in decision-making, this book explains the rationale and the methods of algorithm audit. Interdisciplinary in approach, it provides a systematic overview of the subject, supplying readers with clear definitions and practical tools for the audit of algorithms, while also taking account of the political, business, and vocational obstacles to the development of this new field. As such, it constitutes an essential resource for students and researchers across the social sciences and humanities, as well as for professionals and policymakers, with concerns about the social consequences of algorithmic decision-making.

The Ethical Algorithm

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

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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.

Auditing Algorithms

Auditing Algorithms PDF Author: Danaë Metaxa
Publisher:
ISBN: 9781680839166
Category : Computers
Languages : en
Pages : 84

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Book Description
In this work, the authors present an overview of the algorithm audit methodology. They include the history of audit studies in the social sciences from which this method is derived; a summary of key algorithm audits over the last two decades in a variety of domains such as health, politics, and discrimination.

Delivering on Digital

Delivering on Digital PDF Author: William D. Eggers
Publisher: RosettaBooks
ISBN: 079534757X
Category : Political Science
Languages : en
Pages : 267

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Book Description
The government reform expert and acclaimed author of The Solution Revolution presents a roadmap for navigating the digital government era. In October 2013, HealthCare.gov went live—and promptly crashed. Poor website design was getting in the way of government operations, and the need for digital excellence in public institutions was suddenly crystal clear. Hundreds of the tech industry’s best and brightest dedicated themselves to redesigning the government’s industrial-era frameworks as fully digital systems. But to take Washington into the 21st century, we have to start by imagining a new kind of government. Imagine prison systems that use digital technology to return nonviolent offenders promptly and securely into society. Imagine a veteran’s health care system built around delivering a personalized customer experience for every Vet. We now have the digital tools—such as cloud computing, mobile devices, and analytics—to stage a real transformation. Delivering on Digital provides the handbook to make it happen. A leading authority on government reform, William D. Eggers knows how we can use tech-savvy teams, strong leadership, and innovative practices to reduce the risks and truly achieve a digitally transformed government.

The Cambridge Handbook of the Law of Algorithms

The Cambridge Handbook of the Law of Algorithms PDF Author: Woodrow Barfield
Publisher: Cambridge University Press
ISBN: 1108663184
Category : Law
Languages : en
Pages : 1327

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Book Description
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.

Auditing Bias and Representation in Sociotechnical Systems

Auditing Bias and Representation in Sociotechnical Systems PDF Author: Danaë Metaxa-Kakavouli
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Algorithms are ubiquitous and critical sources of information, increasingly acting as gatekeepers and intermediaries on virtually any topic, including our friends and family, news and politics, entertainment, and even health and well-being. However, studying such content poses considerable challenges, as it is both dynamic and ephemeral: these algorithms are constantly changing, and frequently changing silently, with no record of the content to which users have been exposed over time. To address these challenges, in this dissertation I argue for the need for an interdisciplinary approach that combines strategies, methods, and insights from computational and behavioral sciences. In particular, one strategy that has proven effective is the algorithm audit: a method of repeatedly querying an algorithm and observing its output to draw conclusions about the algorithm's opaque inner workings and possible external impact. Algorithm audits can, without access to underlying algorithms, identify patterns in algorithmic content with important social implications in domains including politics, discrimination and bias, and news media. In my dissertation, I present an overview of the algorithm audit methodology, including the history of audit studies in the social sciences from which this method is derived; a summary of key algorithm audits over the last two decades in a variety of domains; and a set of best practices for conducting algorithm audits today. I concretize these contributions by detailing two case studies, scraping algorithm audits I have conducted. Subsequently I describe a new class of algorithm audits I term intervention auditing, and a system developed for researchers to conduct such audits. Finally, I conclude by discussing the social, ethical, and political dimensions of auditing algorithms, and proposing normative standards for the use of this method, in particular advocating for algorithm auditors to consider this method as a possible vehicle for activism--a method with the potential to bring about social change for the greater good.

A Human's Guide to Machine Intelligence

A Human's Guide to Machine Intelligence PDF Author: Kartik Hosanagar
Publisher: Penguin
ISBN: 0525560904
Category : Business & Economics
Languages : en
Pages : 274

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Book Description
A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.

Algorithms and Law

Algorithms and Law PDF Author: Martin Ebers
Publisher: Cambridge University Press
ISBN: 1108424821
Category : Computers
Languages : en
Pages : 321

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