Understand Manage And Prevent Algorithmic Bias

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Understand, Manage, and Prevent Algorithmic Bias

Author : Tobias Baer
Publisher : Unknown
Page : 245 pages
File Size : 42,6 Mb
Release : 2019
Category : Computer science
ISBN : 1484248864

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Understand, Manage, and Prevent Algorithmic Bias by Tobias Baer Pdf

The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we decide not take a bite of food that appears to have gone bad. However, inherent bias negatively affects work environments and the decision-making surrounding our communities. While the creation of algorithms and machine learning attempts to eliminate bias, they are, after all, created by human beings, and thus are susceptible to what we call algorithmic bias. In Understand, Manage, and Prevent Algorithmic Bias, author Tobias Baer helps you understand where algorithmic bias comes from, how to manage it as a business user or regulator, and how data science can prevent bias from entering statistical algorithms. Baer expertly addresses some of the 100+ varieties of natural bias such as confirmation bias, stability bias, pattern-recognition bias, and many others. Algorithmic bias mirrors-and originates in-these human tendencies. While most writings on algorithmic bias focus on the dangers, the core of this positive, fun book points toward a path where bias is kept at bay and even eliminated. You'll come away with managerial techniques to develop unbiased algorithms, the ability to detect bias more quickly, and knowledge to create unbiased data. Understand, Manage, and Prevent Algorithmic Bias is an innovative, timely, and important book that belongs on your shelf. Whether you are a seasoned business executive, a data scientist, or simply an enthusiast, now is a crucial time to be educated about the larger sociological impact of bias in the digital era.

Understand, Manage, and Prevent Algorithmic Bias

Author : Tobias Baer
Publisher : Apress
Page : 240 pages
File Size : 45,7 Mb
Release : 2019-06-07
Category : Computers
ISBN : 9781484248850

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Understand, Manage, and Prevent Algorithmic Bias by Tobias Baer Pdf

Are algorithms friend or foe? The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we decide not take a bite of food that appears to have gone bad. However, inherent bias negatively affects work environments and the decision-making surrounding our communities. While the creation of algorithms and machine learning attempts to eliminate bias, they are, after all, created by human beings, and thus are susceptible to what we call algorithmic bias. In Understand, Manage, and Prevent Algorithmic Bias, author Tobias Baer helps you understand where algorithmic bias comes from, how to manage it as a business user or regulator, and how data science can prevent bias from entering statistical algorithms. Baer expertly addresses some of the 100+ varieties of natural bias such as confirmation bias, stability bias, pattern-recognition bias, and many others. Algorithmic bias mirrors—and originates in—these human tendencies. Baer dives into topics as diverse as anomaly detection, hybrid model structures, and self-improving machine learning. While most writings on algorithmic bias focus on the dangers, the core of this positive, fun book points toward a path where bias is kept at bay and even eliminated. You’ll come away with managerial techniques to develop unbiased algorithms, the ability to detect bias more quickly, and knowledge to create unbiased data. Understand, Manage, and Prevent Algorithmic Bias is an innovative, timely, and important book that belongs on your shelf. Whether you are a seasoned business executive, a data scientist, or simply an enthusiast, now is a crucial time to be educated about the impact of algorithmic bias on society and take an active role in fighting bias. What You'll Learn Study the many sources of algorithmic bias, including cognitive biases in the real world, biased data, and statistical artifact Understand the risks of algorithmic biases, how to detect them, and managerial techniques to prevent or manage them Appreciate how machine learning both introduces new sources of algorithmic bias and can be a part of a solutionBe familiar with specific statistical techniques a data scientist can use to detect and overcome algorithmic bias Who This Book is For Business executives of companies using algorithms in daily operations; data scientists (from students to seasoned practitioners) developing algorithms; compliance officials concerned about algorithmic bias; politicians, journalists, and philosophers thinking about algorithmic bias in terms of its impact on society and possible regulatory responses; and consumers concerned about how they might be affected by algorithmic bias

Value Sensitive Design

Author : Batya Friedman,David G. Hendry
Publisher : MIT Press
Page : 258 pages
File Size : 46,6 Mb
Release : 2019-05-21
Category : Design
ISBN : 9780262039536

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Value Sensitive Design by Batya Friedman,David G. Hendry Pdf

Using our moral and technical imaginations to create responsible innovations: theory, method, and applications for value sensitive design. Implantable medical devices and human dignity. Private and secure access to information. Engineering projects that transform the Earth. Multigenerational information systems for international justice. How should designers, engineers, architects, policy makers, and others design such technology? Who should be involved and what values are implicated? In Value Sensitive Design, Batya Friedman and David Hendry describe how both moral and technical imagination can be brought to bear on the design of technology. With value sensitive design, under development for more than two decades, Friedman and Hendry bring together theory, methods, and applications for a design process that engages human values at every stage. After presenting the theoretical foundations of value sensitive design, which lead to a deep rethinking of technical design, Friedman and Hendry explain seventeen methods, including stakeholder analysis, value scenarios, and multilifespan timelines. Following this, experts from ten application domains report on value sensitive design practice. Finally, Friedman and Hendry explore such open questions as the need for deeper investigation of indirect stakeholders and further method development. This definitive account of the state of the art in value sensitive design is an essential resource for designers and researchers working in academia and industry, students in design and computer science, and anyone working at the intersection of technology and society.

Algorithms of Oppression

Author : Safiya Umoja Noble
Publisher : NYU Press
Page : 245 pages
File Size : 49,7 Mb
Release : 2018-02-20
Category : Computers
ISBN : 9781479837243

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Algorithms of Oppression by Safiya Umoja Noble Pdf

Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author

Noise

Author : Daniel Kahneman,Olivier Sibony,Cass R. Sunstein
Publisher : Little, Brown
Page : 429 pages
File Size : 51,8 Mb
Release : 2021-05-18
Category : Business & Economics
ISBN : 9780316451383

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Noise by Daniel Kahneman,Olivier Sibony,Cass R. Sunstein Pdf

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 Governance of Privacy

Author : Hans de Bruijn
Publisher : Amsterdam University Press
Page : 158 pages
File Size : 43,5 Mb
Release : 2021-12-03
Category : Law
ISBN : 9789048556120

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The Governance of Privacy by Hans de Bruijn Pdf

We can hardly underestimate the importance of privacy in our data-driven world. Privacy breaches are not just about disclosing information. Personal data is used to profile and manipulate us - sometimes on such a large scale that it affects society as a whole. What can governments do to protect our privacy? In 'The Governance of Privacy' Hans de Bruijn first analyses the complexity of the governance challenge, using the metaphor of a journey. At the start, users have strong incentives to share data. Harvested data continue the journey that might lead to a privacy breach, but not necessarily - it can also lead to highly valued services. That is why both preparedness at the start of the journey and resilience during the journey are crucial to privacy protection. The book then explores three strategies to deal with governments, the market, and society. Governments can use the power of the law; they can exploit the power of the market by stimulating companies to compete on privacy; and they can empower society, strengthening its resilience in a data-driven world.

Quality Assurance in the Era of Individualized Medicine

Author : Moumtzoglou, Anastasius S.
Publisher : IGI Global
Page : 346 pages
File Size : 46,5 Mb
Release : 2019-11-29
Category : Medical
ISBN : 9781799823919

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Quality Assurance in the Era of Individualized Medicine by Moumtzoglou, Anastasius S. Pdf

There is a significant deficiency among contemporary medicine practices reflected by experts making medical decisions for a large proportion of the population for which no or minimal data exists. Fortunately, our capacity to procure and apply such information is rapidly rising. As medicine becomes more individualized, the implementation of health IT and data interoperability become essential components to delivering quality healthcare. Quality Assurance in the Era of Individualized Medicine is a collection of innovative research on the methods and utilization of digital readouts to fashion an individualized therapy instead of a mass-population-directed strategy. While highlighting topics including assistive technologies, patient management, and clinical practices, this book is ideally designed for health professionals, doctors, nurses, hospital management, medical administrators, IT specialists, data scientists, researchers, academicians, and students.

Automating Inequality

Author : Virginia Eubanks
Publisher : St. Martin's Press
Page : 288 pages
File Size : 49,8 Mb
Release : 2018-01-23
Category : Social Science
ISBN : 9781466885967

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Automating Inequality by Virginia Eubanks Pdf

WINNER: The 2018 McGannon Center Book Prize and shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social Justice The New York Times Book Review: "Riveting." Naomi Klein: "This book is downright scary." Ethan Zuckerman, MIT: "Should be required reading." Dorothy Roberts, author of Killing the Black Body: "A must-read." Astra Taylor, author of The People's Platform: "The single most important book about technology you will read this year." Cory Doctorow: "Indispensable." A powerful investigative look at data-based discrimination—and how technology affects civil and human rights and economic equity The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years—because a new computer system interprets any mistake as “failure to cooperate.” In Los Angeles, an algorithm calculates the comparative vulnerability of tens of thousands of homeless people in order to prioritize them for an inadequate pool of housing resources. In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect. Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely.

Introduction to Algorithmic Government

Author : Rajan Gupta,Saibal Kumar Pal
Publisher : Springer Nature
Page : 199 pages
File Size : 45,5 Mb
Release : 2021-03-22
Category : Political Science
ISBN : 9789811602825

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Introduction to Algorithmic Government by Rajan Gupta,Saibal Kumar Pal Pdf

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.

Handbook of Research on Advancements in Organizational Data Collection and Measurements: Strategies for Addressing Attitudes, Beliefs, and Behaviors

Author : Bocarnea, Mihai C.,Winston, Bruce E.,Dean, Debra
Publisher : IGI Global
Page : 400 pages
File Size : 43,6 Mb
Release : 2021-06-25
Category : Computers
ISBN : 9781799876670

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Handbook of Research on Advancements in Organizational Data Collection and Measurements: Strategies for Addressing Attitudes, Beliefs, and Behaviors by Bocarnea, Mihai C.,Winston, Bruce E.,Dean, Debra Pdf

Different organizational instruments have been developed and adapted with proven reliability and validity to measure organizational attitudes, beliefs, and behaviors. These new data collection instruments can be used in organizational management and leadership, including human research development. This technology will enhance data collection, reliability, and accurately assess management and leadership for improved organizational outcomes. Now that this new style of data collection and measurement has entered the workplace, it is essential to understand both the benefits and challenges of these newly developed instruments as well as looking at how they are used, where they are implemented, and how the technology itself functions. The Handbook of Research on Advancements in Organizational Data Collection and Measurements: Strategies for Addressing Attitudes, Beliefs, and Behaviors includes a collection of 15 newly developed organizational instruments with proven reliability and validity meant to measure organizational attitudes, beliefs, and behaviors. Additionally, chapters will address methodological issues related to scale development and use as well as specific technologies used, such as the use of machine learning in future performance assessment. This book is ideal for faculty, consultants, and managers, along with practitioners, stakeholders, researchers, academicians, and students interested in advancing the theoretical understanding and the practical application of using newly developed instruments for addressing organizational attitudes, beliefs, and behaviors.

Managing Technology Integration for Human Resources in Industry 5.0

Author : Sharma, Naman,Shalender, Kumar
Publisher : IGI Global
Page : 314 pages
File Size : 51,9 Mb
Release : 2023-02-03
Category : Business & Economics
ISBN : 9781668467473

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Managing Technology Integration for Human Resources in Industry 5.0 by Sharma, Naman,Shalender, Kumar Pdf

Although the transition between the first three industrial revolutions took more than a century, Industry 4.0 is progressing quickly. The emergence of digitalization has been rapid thanks to the development of cutting-edge technologies. Though we are witnessing this rapid technological decentralization and interconnectivity at present, organizations and researchers are already discussing Industry 5.0 where full integration of the human side of business and intelligent systems is expected. In this scenario, it is essential to look forward to such strategic workplaces that allow a combination of humans and technology to assure a high degree of automation merged with the cognitive skills of business leaders. Managing Technology Integration for Human Resources in Industry 5.0 provides insights into the impact of the Industrial Revolution 4.0 on human resources. It provides insights for both industry and academia to assist them in teaching and training the next generation leaders through universities and corporate training. Covering topics such as business performance, human technology integration, and digitalization, this premier reference source is an essential resource for human resource managers, IT managers, organizational executives and leaders, entrepreneurs, students and educators of higher education, librarians, researchers, and academicians.

Weapons of Math Destruction

Author : Cathy O'Neil
Publisher : Crown Publishing Group (NY)
Page : 274 pages
File Size : 48,8 Mb
Release : 2016
Category : Business & Economics
ISBN : 9780553418811

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Weapons of Math Destruction by Cathy O'Neil Pdf

"A former Wall Street quantitative analyst sounds an alarm on mathematical modeling, a pervasive new force in society that threatens to undermine democracy and widen inequality,"--NoveList.

EdgeAI for Algorithmic Government

Author : Rajan Gupta,Sanjana Das,Saibal Kumar Pal
Publisher : Springer Nature
Page : 109 pages
File Size : 42,7 Mb
Release : 2023-03-26
Category : Political Science
ISBN : 9789811997983

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EdgeAI for Algorithmic Government by Rajan Gupta,Sanjana Das,Saibal Kumar Pal Pdf

The book provides various EdgeAI concepts related to its architecture, key performance indicators, and enabling technologies after introducing algorithmic government, large-scale decision-making, and computing issues in the cloud and fog. With advancements in technology, artificial intelligence has permeated our personal lives and the fields of economy, socio-culture, and politics. The integration of artificial intelligence (AI) into decision-making for public services is changing how governments operate worldwide. This book discusses how algorithms help the government in various ways, including virtual assistants for busy civil servants, automated public services, and algorithmic decision-making processes. In such cases, the implementation of algorithms will occur on a massive scale and possibly affect the lives of entire communities. The cloud-centric architecture of artificial intelligence brings out challenges of latency, overhead communication, and significant privacy risks. Due to the sheer volume of data generated by IoT devices, the data analysis must be performed at the forefront of the network. This introduces the need for edge computing in algorithmic government. EdgeAI, the confluence of edge computing and AI, is the primary focus of this book. It also discusses how one can incorporate these concepts in algorithmic government through conceptual framework and decision points. Finally, the research work emphasizes some design challenges in edge computing from applications viewpoint. This book will be helpful for data engineers, data scientists, cloud engineers, data management experts, public policymakers, administrators, research scholars and academicians.

Intelligence - Theories and Applications

Author : Rainer M. Holm-Hadulla,Joachim Funke,Michael Wink
Publisher : Springer Nature
Page : 394 pages
File Size : 44,7 Mb
Release : 2022-06-29
Category : Psychology
ISBN : 9783031041983

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Intelligence - Theories and Applications by Rainer M. Holm-Hadulla,Joachim Funke,Michael Wink Pdf

Intelligence allows people to understand events and to shape their surrounding environment. This book delves deeper into the theories and applications of intelligence, showing it is a multifaceted concept —defined and explained differently by prestigious experts of various disciplines in their own research. The book provides interdisciplinary connections of intelligence as it relates to a variety of clearly outlined subject areas, and should lead to a deep understanding of the phenomenon as it pertains to practical applications in different domains. Contributors in this volume present results from evolutionary biology, mathematics, artificial intelligence, medicine, psychology, cultural studies, economy, political sciences and philosophy. Individual scientific models are integrated in an interdisciplinary concept of wisdom. This volume will help enhance the common understanding of intelligence for fellow researchers and scientists alike.

Standards for the Control of Algorithmic Bias

Author : Natalie Heisler,Maura R. Grossman
Publisher : CRC Press
Page : 105 pages
File Size : 48,7 Mb
Release : 2023-07-04
Category : Computers
ISBN : 9781000927580

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Standards for the Control of Algorithmic Bias by Natalie Heisler,Maura R. Grossman Pdf

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.