Understand Manage And Prevent Algorithmic Bias
Download Understand Manage And Prevent Algorithmic Bias PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Understand Manage And Prevent Algorithmic Bias book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Understand, Manage, and Prevent Algorithmic Bias
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 someof 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 solution Be 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
An Ethical Evaluation of Lethal Functions in Autoregulative Weapons Systems
Author: Nicole Kunkel
language: en
Publisher: Wipf and Stock Publishers
Release Date: 2024-12-30
This book connects two of the most pressing ethical topics of our time: questions of peace and technology, materialized in so-called autonomous weapons systems, which can operate without human control and intervention in real time. The author, however, criticizes the term “autonomy” as too anthropomorphic and therefore misleading. She consequently proposes using the term “autoregulation” in its place. Taking a contingent pacifist stance, this book addresses the question of whether such technological means help or hinder peace processes. The argument is tripartite. First, it is demonstrated that the risk of harm to nonparticipants is very likely to increase. Second, and with respect to responsibility, it is indicated that a human-machine system can only be operated responsibly if a human is in control. Finally, this idea is transferred into theological thought through reference to Bonhoeffer’s idea of incurring guilt in acting responsibly. In that context, autoregulative technology might pose the possibility of shying away from responsibility—and therefore becoming guilty. This book is among the first ethical considerations of lethal autoregulative weaponry from a contingent pacifist stance and brings together peace ethical thinking and theories from various backgrounds.
Value Sensitive Design
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.