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 : 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.

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.

The Ethical Algorithm

Author : Michael Kearns
Publisher :
ISBN 13 : 0190948205
Total Pages : 229 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 . This book was released on 2020 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms have made our lives more efficient and entertaining--but not without a significant cost. Can we design a better future, one in which societial gains brought about by technology are balanced with the rights of citizens? The Ethical Algorithm offers a set of principled solutions based on the emerging and exciting science of socially aware algorithm design.

An Intelligence in Our Image

Author : Osonde A. Osoba
Publisher : Rand Corporation
ISBN 13 : 0833097636
Total Pages : 45 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 45 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.

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.

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.

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.

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.

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.

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.

Linking Auditing and Meta-Evaluation

Author : Thomas A. Schwandt
Publisher : SAGE Publications, Incorporated
ISBN 13 :
Total Pages : 168 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Linking Auditing and Meta-Evaluation by : Thomas A. Schwandt

Download or read book Linking Auditing and Meta-Evaluation written by Thomas A. Schwandt and published by SAGE Publications, Incorporated. This book was released on 1988-06 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emergence of new evaluation paradigms raises serious questions about how merit can be established and judged. Linking Auditing and Metaevaluation addresses this concern, introducing a strategy by which the quality of inquiry procedures and products can be assured and retrospectively assessed. Based upon the model of fiscal auditing, the technique is applicable to a variety of social scientific investigations and specifically includes non - conventional paradigms such as naturalistic evaluation. Effective regardless of the nature of the inquiry, auditing is also an excellent means of organizing data, thus promoting theorizing and identification of relationships in that data. Each section includes exercises designed both to encoura

Audit Studies: Behind the Scenes with Theory, Method, and Nuance

Author : S. Michael Gaddis
Publisher : Springer
ISBN 13 : 3319711539
Total Pages : 198 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Audit Studies: Behind the Scenes with Theory, Method, and Nuance by : S. Michael Gaddis

Download or read book Audit Studies: Behind the Scenes with Theory, Method, and Nuance written by S. Michael Gaddis and published by Springer. This book was released on 2018-02-20 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers practical instruction on the use of audit studies in the social sciences. It features essays from sociologists, economists, and other experts who have employed this powerful and flexible tool. Readers will learn how to implement an audit study to examine a variety of questions in their own research. The essays first discuss situations where audit studies are the most effective. These tools allow researchers to make strong causal claims and explore questions that are often difficult to answer with observational data. Audit studies also stand as the single best way to conduct research on discrimination. The authors highlight what these studies have uncovered about labor market processes in the past decade. The next section gives some guidance on how to design an audit study. The essays cover the difficult task of getting a study through an institutional review board, the technical setup of matching procedures, and statistical power and analysis techniques. The last part focuses on more advanced aspects. Coverage includes understanding context, what variables may signal, and the use of technology. The book concludes with a discussion of challenges and limitations with an eye towards the future of audit studies. “Field experiments studying and testing for housing and labor market discrimination have, rightly, become the dominant mode of discrimination-related research in economics and sociology. This book brings together a number of interesting and useful perspectives on these field experiments. Many different kinds of readers will find it valuable, ranging from those interested in getting an overview of the evidence, to researchers looking for guidance on the nuts and bolts of conducting these complex experiments.” David Neumark, Chancellor’s Professor of Economics at the University of California – Irvine “For decades, researchers have used experimental audit studies to uncover discrimination in a variety of markets. Although this approach has become more popular in recent years, few publications provide detailed information on the design and implementation of the method. This volume provides the first deep examination of the audit method, with details on the practical, political, analytical, and theoretical considerations of this research. Social scientists interested in consuming or contributing to this literature will find this volume immensely useful.” Devah Pager, Professor of Sociology and Public Policy at Harvard University

Artificial Intelligence in Accounting and Auditing

Author : Mariarita Pierotti
Publisher : Springer Nature
ISBN 13 : 3031713710
Total Pages : 249 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Artificial Intelligence in Accounting and Auditing by : Mariarita Pierotti

Download or read book Artificial Intelligence in Accounting and Auditing written by Mariarita Pierotti and published by Springer Nature. This book was released on with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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!

Oxford Handbook of Ethics of AI

Author : Markus D. Dubber
Publisher : Oxford University Press
ISBN 13 : 0190067411
Total Pages : 1000 pages
Book Rating : 4.1/5 (9 download)

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Book Synopsis Oxford Handbook of Ethics of AI by : Markus D. Dubber

Download or read book Oxford Handbook of Ethics of AI written by Markus D. Dubber and published by Oxford University Press. This book was released on 2020-06-30 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."

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.