Algorithm Audit Why What And How

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Algorithm Audit: Why, What and How?

Author : Biagio Aragona
Publisher : Routledge
ISBN 13 : 1000461319
Total Pages : 123 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Algorithm Audit: Why, What and How? by : Biagio Aragona

Download or read book Algorithm Audit: Why, What and How? written by Biagio Aragona and published by Routledge. This book was released on 2021-08-02 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Danaë Metaxa
Publisher :
ISBN 13 : 9781680839166
Total Pages : 84 pages
Book Rating : 4.8/5 (391 download)

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Book Synopsis Auditing Algorithms by : Danaë Metaxa

Download or read book Auditing Algorithms written by Danaë Metaxa and published by . This book was released on 2021-11-25 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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?

Author : Biagio Aragona
Publisher : Routledge
ISBN 13 : 1000461270
Total Pages : 98 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Algorithm Audit: Why, What, and How? by : Biagio Aragona

Download or read book Algorithm Audit: Why, What, and How? written by Biagio Aragona and published by Routledge. This book was released on 2021-08-01 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Danaë Metaxa
Publisher :
ISBN 13 : 9781680839173
Total Pages : 81 pages
Book Rating : 4.8/5 (391 download)

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Book Synopsis Auditing Algorithms by : Danaë Metaxa

Download or read book Auditing Algorithms written by Danaë Metaxa and published by . This book was released on 2021 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Ethical Algorithm

Author : Michael Kearns
Publisher : Oxford University Press
ISBN 13 : 0190948213
Total Pages : 288 pages
Book Rating : 4.1/5 (99 download)

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Book Synopsis The Ethical Algorithm by : Michael Kearns

Download or read book The Ethical Algorithm written by Michael Kearns and published by Oxford University Press. This book was released on 2019-10-04 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Feminism

Author : Catherine D'Ignazio
Publisher : MIT Press
ISBN 13 : 026254718X
Total Pages : 328 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Data Feminism by : Catherine D'Ignazio

Download or read book Data Feminism written by Catherine D'Ignazio and published by MIT Press. This book was released on 2023-10-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

The Cambridge Handbook of the Law of Algorithms

Author : Woodrow Barfield
Publisher : Cambridge University Press
ISBN 13 : 1108663184
Total Pages : 1327 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis The Cambridge Handbook of the Law of Algorithms by : Woodrow Barfield

Download or read book The Cambridge Handbook of the Law of Algorithms written by Woodrow Barfield and published by Cambridge University Press. This book was released on 2020-11-05 with total page 1327 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Martin Ebers
Publisher : Cambridge University Press
ISBN 13 : 1108424821
Total Pages : 321 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Algorithms and Law by : Martin Ebers

Download or read book Algorithms and Law written by Martin Ebers and published by Cambridge University Press. This book was released on 2020-07-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring issues from big-data to robotics, this volume is the first to comprehensively examine the regulatory implications of AI technology.

An Intelligence in Our Image

Author : Osonde A. Osoba
Publisher : Rand Corporation
ISBN 13 : 0833097636
Total Pages : 44 pages
Book Rating : 4.8/5 (33 download)

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Book Synopsis An Intelligence in Our Image by : Osonde A. Osoba

Download or read book An Intelligence in Our Image written by Osonde A. Osoba and published by Rand Corporation. This book was released on 2017-04-05 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning algorithms and artificial intelligence influence many aspects of life today. This report identifies some of their shortcomings and associated policy risks and examines some approaches for combating these problems.

A Human's Guide to Machine Intelligence

Author : Kartik Hosanagar
Publisher : Penguin
ISBN 13 : 0525560904
Total Pages : 274 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis A Human's Guide to Machine Intelligence by : Kartik Hosanagar

Download or read book A Human's Guide to Machine Intelligence written by Kartik Hosanagar and published by Penguin. This book was released on 2020-03-10 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Delivering on Digital

Author : William D. Eggers
Publisher : RosettaBooks
ISBN 13 : 079534757X
Total Pages : 267 pages
Book Rating : 4.7/5 (953 download)

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Book Synopsis Delivering on Digital by : William D. Eggers

Download or read book Delivering on Digital written by William D. Eggers and published by RosettaBooks. This book was released on 2016-06-07 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Noise

Author : Daniel Kahneman
Publisher : Little, Brown
ISBN 13 : 031645138X
Total Pages : 429 pages
Book Rating : 4.3/5 (164 download)

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Book Synopsis Noise by : Daniel Kahneman

Download or read book Noise written by Daniel Kahneman and published by Little, Brown. This book was released on 2021-05-18 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the Nobel Prize-winning author of Thinking, Fast and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad judgments and how to make better ones—"a tour de force” (New York Times). Imagine that two doctors in the same city give different diagnoses to identical patients—or that two judges in the same courthouse give markedly different sentences to people who have committed the same crime. Suppose that different interviewers at the same firm make different decisions about indistinguishable job applicants—or that when a company is handling customer complaints, the resolution depends on who happens to answer the phone. Now imagine that the same doctor, the same judge, the same interviewer, or the same customer service agent makes different decisions depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgments that should be identical. In Noise, Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein show the detrimental effects of noise in many fields, including medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection. Wherever there is judgment, there is noise. Yet, most of the time, individuals and organizations alike are unaware of it. They neglect noise. With a few simple remedies, people can reduce both noise and bias, and so make far better decisions. Packed with original ideas, and offering the same kinds of research-based insights that made Thinking, Fast and Slow and Nudge groundbreaking New York Times bestsellers, Noise explains how and why humans are so susceptible to noise in judgment—and what we can do about it.

Algorithm Engineering

Author : Matthias Müller-Hannemann
Publisher : Springer Science & Business Media
ISBN 13 : 3642148654
Total Pages : 527 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Algorithm Engineering by : Matthias Müller-Hannemann

Download or read book Algorithm Engineering written by Matthias Müller-Hannemann and published by Springer Science & Business Media. This book was released on 2010-08-05 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms are essential building blocks of computer applications. However, advancements in computer hardware, which render traditional computer models more and more unrealistic, and an ever increasing demand for efficient solution to actual real world problems have led to a rising gap between classical algorithm theory and algorithmics in practice. The emerging discipline of Algorithm Engineering aims at bridging this gap. Driven by concrete applications, Algorithm Engineering complements theory by the benefits of experimentation and puts equal emphasis on all aspects arising during a cyclic solution process ranging from realistic modeling, design, analysis, robust and efficient implementations to careful experiments. This tutorial - outcome of a GI-Dagstuhl Seminar held in Dagstuhl Castle in September 2006 - covers the essential aspects of this process in ten chapters on basic ideas, modeling and design issues, analysis of algorithms, realistic computer models, implementation aspects and algorithmic software libraries, selected case studies, as well as challenges in Algorithm Engineering. Both researchers and practitioners in the field will find it useful as a state-of-the-art survey.

Auditing Information Systems

Author : Jack J. Champlain
Publisher : John Wiley & Sons
ISBN 13 : 0471466298
Total Pages : 450 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Auditing Information Systems by : Jack J. Champlain

Download or read book Auditing Information Systems written by Jack J. Champlain and published by John Wiley & Sons. This book was released on 2003-04-01 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you been asked to perform an information systems audit and don't know where to start? Examine a company's hardware, software, and data organization and processing methods to ensure quality control and security with this easy, practical guide to auditing computer systems--the tools necessary to implement an effective IS audit. In nontechnical language and following the format of an IS audit program, you'll gain insight into new types of security certifications (e.g., TruSecure, CAP SysTrust, CPA WebTrust) as well as the importance of physical security controls, adequate insurance, and digital surveillance systems. Order your copy today!

Governance and Auditing

Author : Peter Moizer
Publisher : Edward Elgar Publishing
ISBN 13 : 9781843768302
Total Pages : 0 pages
Book Rating : 4.7/5 (683 download)

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Book Synopsis Governance and Auditing by : Peter Moizer

Download or read book Governance and Auditing written by Peter Moizer and published by Edward Elgar Publishing. This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative new collection contains reprints of seminal articles on the subject of auditing and its relationship to the way in which outside stakeholders monitor the activities of corporate management. Whilst the primary audience is students in upper-level undergraduate and graduate accounting courses, the book should also be of use to existing researchers, as it collects together the 'must read' articles on the subject in a readily accessible form. The articles have been selected to cover four broad topic areas: (i) the role of auditing in the governance process, (ii) audit quality and auditor reputation, (iii) governance and audit committees and (iv) the relationship between internal and external auditors. The readings show that much work has been done and that there now exists a substantial body of knowledge of how auditing can contribute to corporate governance. The volume makes an important contribution to an issue that will continue to raise challenges in the years ahead. 25 articles, dating from 1971 to 2003

Fundamentals of Machine Learning for Predictive Data Analytics, second edition

Author : John D. Kelleher
Publisher : MIT Press
ISBN 13 : 0262361108
Total Pages : 853 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Fundamentals of Machine Learning for Predictive Data Analytics, second edition by : John D. Kelleher

Download or read book Fundamentals of Machine Learning for Predictive Data Analytics, second edition written by John D. Kelleher and published by MIT Press. This book was released on 2020-10-20 with total page 853 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.

Algorithm Design

Author : Michael T. Goodrich
Publisher : John Wiley & Sons
ISBN 13 : 0471383651
Total Pages : 722 pages
Book Rating : 4.4/5 (713 download)

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Book Synopsis Algorithm Design by : Michael T. Goodrich

Download or read book Algorithm Design written by Michael T. Goodrich and published by John Wiley & Sons. This book was released on 2001-10-15 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt: Michael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Engineering, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective. This book offers theoretical analysis techniques as well as algorithmic design patterns and experimental methods for the engineering of algorithms. Market: Computer Scientists; Programmers.