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Fair And Unbiased Algorithmic Decision Making
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Book Synopsis A First Course in Machine Learning by : Simon Rogers
Download or read book A First Course in Machine Learning written by Simon Rogers and published by CRC Press. This book was released on 2016-10-14 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the main algorithms and ideas that underpin machine learning techniques and applications Keeps mathematical prerequisites to a minimum, providing mathematical explanations in comment boxes and highlighting important equations Covers modern machine learning research and techniques Includes three new chapters on Markov Chain Monte Carlo techniques, Classification and Regression with Gaussian Processes, and Dirichlet Process models Offers Python, R, and MATLAB code on accompanying website: http://www.dcs.gla.ac.uk/~srogers/firstcourseml/"
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.
Book Synopsis Algorithms for Decision Making by : Mykel J. Kochenderfer
Download or read book Algorithms for Decision Making written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2022-08-16 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.
Book Synopsis Discrimination and Privacy in the Information Society by : Bart Custers
Download or read book Discrimination and Privacy in the Information Society written by Bart Custers and published by Springer Science & Business Media. This book was released on 2012-08-11 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in making a variety of administrative and governmental decisions. These innovative steps considerably improve the speed, effectiveness and quality of decisions. Analyses are increasingly performed by data mining and profiling technologies that statistically and automatically determine patterns and trends. However, when such practices lead to unwanted or unjustified selections, they may result in unacceptable forms of discrimination. Processing vast amounts of data may lead to situations in which data controllers know many of the characteristics, behaviors and whereabouts of people. In some cases, analysts might know more about individuals than these individuals know about themselves. Judging people by their digital identities sheds a different light on our views of privacy and data protection. This book discusses discrimination and privacy issues related to data mining and profiling practices. It provides technological and regulatory solutions, to problems which arise in these innovative contexts. The book explains that common measures for mitigating privacy and discrimination, such as access controls and anonymity, fail to properly resolve privacy and discrimination concerns. Therefore, new solutions, focusing on technology design, transparency and accountability are called for and set forth.
Book Synopsis Government Policy toward Open Source Software by : Robert W. Hahn
Download or read book Government Policy toward Open Source Software written by Robert W. Hahn and published by Rowman & Littlefield. This book was released on 2010-12-01 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can open source software—software that is usually available without charge and that individuals are free to modify—survive against the fierce competition of proprietary software, such as Microsoft Windows? Should the government intervene on its behalf? This book addresses a host of issues raised by the rapid growth of open source software, including government subsidies for research and development, government procurement policy, and patent and copyright policy. Contributors offer diverse perspectives on a phenomenon that has become a lightning rod for controversy in the field of information technology. Contributors include James Bessen (Research on Innovation), David S. Evans (National Economic Research Associates), Lawrence Lessig (Stanford University), Bradford L. Smith (Microsoft Corporation), and Robert W. Hahn (director, AEI-Brookings Joint Center).
Book Synopsis Big Data by : Executive Office of the President
Download or read book Big Data written by Executive Office of the President and published by CreateSpace. This book was released on 2014-10-29 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the first censuses were taken and crop yields recorded in ancient times, data collection and analysis have been essential to improving the functioning of society. Foundational work in calculus, probability theory, and statistics in the 17th and 18th centuries provided an array of new tools used by scientists to more precisely predict the movements of the sun and stars and determine population-wide rates of crime, marriage, and suicide. These tools often led to stunning advances. In the 1800s, Dr. John Snow used early modern data science to map cholera “clusters” in London. By tracing to a contaminated public well a disease that was widely thought to be caused by “miasmatic” air, Snow helped lay the foundation for the germ theory of disease.Gleaning insights from data to boost economic activity also took hold in American industry. Frederick Winslow Taylor's use of a stopwatch and a clipboard to analyze productivity at Midvale Steel Works in Pennsylvania increased output on the shop floor and fueled his belief that data science could revolutionize every aspect of life.2 In 1911, Taylor wrote The Principles of Scientific Management to answer President Theodore Roosevelt's call for increasing “national efficiency”: Today, data is more deeply woven into the fabric of our lives than ever before. We aspire to use data to solve problems, improve well-being, and generate economic prosperity. The collection, storage, and analysis of data is on an upward and seemingly unbounded trajectory, fueled by increases in processing power, the cratering costs of computation and storage, and the growing number of sensor technologies embedded in devices of all kinds. In 2011, some estimated the amount of information created and replicated would surpass 1.8 zettabytes. In 2013, estimates reached 4 zettabytes of data generated worldwide.
Book Synopsis An Introduction to Ethics in Robotics and AI by : Christoph Bartneck
Download or read book An Introduction to Ethics in Robotics and AI written by Christoph Bartneck and published by Springer Nature. This book was released on 2020-08-11 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further.
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.
Book Synopsis Algorithmic Equity by : Osonde A. Osoba
Download or read book Algorithmic Equity written by Osonde A. Osoba and published by . This book was released on 2019 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report is an examination of pathologies in social institutions' use of algorithmic decisionmaking processes. The primary focus is understanding how to evaluate the equitable use of algorithms across a range of specific applications.
Book Synopsis Introduction to Algorithmic Government by : Rajan Gupta
Download or read book Introduction to Algorithmic Government written by Rajan Gupta and published by Springer Nature. This book was released on 2021-03-22 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Ethical Algorithm by : Alex Morgan
Download or read book The Ethical Algorithm written by Alex Morgan and published by eBookIt.com. This book was released on 2024-07-12 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the Ethical Dimensions Shaping Our AI-Driven Future Attention: In a world where artificial intelligence is rapidly transforming our lives, how do we ensure that these powerful systems serve humanity's best interests? The Ethical Algorithm: Safeguarding Humanity in AI dives deep into the crucial ethical considerations that must guide AI development and deployment. Interest: This enlightening book begins by laying a solid foundation in AI ethics, drawing from historical contexts and early ethical considerations. You'll delve into the intricacies of privacy and data protection, learning about the risks and the ways to mitigate them. From there, explore the challenging terrain of bias and fairness in AI algorithms, discovering effective strategies to detect and reduce biases. With crisp clarity, it elucidates the importance of transparency and explainability, providing a roadmap for communicating complex AI decisions effectively. Desire: As you turn the pages, your understanding will deepen with real-world case studies on accountability, the impact of AI on employment, and ethical challenges in healthcare. You'll tackle the pressing issues of security and robustness, ensuring AI systems remain resilient against threats. The book also sheds light on the ethical dimensions of AI in law enforcement, highlighting the balance between surveillance and ethical use. Finally, the global perspectives and policy recommendations will empower you to envision collaborative, worldwide solutions for ethical AI practices. Action: The Ethical Algorithm: Safeguarding Humanity in AI isn't just a theoretical discourse; it's a practical guide for anyone committed to fostering ethical AI systems. This book equips you with the knowledge and tools to advocate for and design AI that respects human rights, safeguards privacy, and promotes fairness and accountability. Embark on a journey to understand and shape the future of AI, ensuring it aligns with humanity's most cherished values. Get your copy today and join the movement to safeguard our future in an AI-driven world!
Book Synopsis Algorithms of Oppression by : Safiya Umoja Noble
Download or read book Algorithms of Oppression written by Safiya Umoja Noble and published by NYU Press. This book was released on 2018-02-20 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Open Networks, Closed Regimes by : Shanthi Kalathil
Download or read book Open Networks, Closed Regimes written by Shanthi Kalathil and published by Carnegie Endowment. This book was released on 2010-11 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the Internet diffuses across the globe, many have come to believe that the technology poses an insurmountable threat to authoritarian rule. Grounded in the Internet's early libertarian culture and predicated on anecdotes pulled from diverse political climates, this conventional wisdom has informed the views of policymakers, business leaders, and media pundits alike. Yet few studies have sought to systematically analyze the exact ways in which Internet use may lay the basis for political change. In O pen Networks, Closed Regimes, the authors take a comprehensive look at how a broad range of societal and political actors in eight authoritarian and semi-authoritarian countries employ the Internet. Based on methodical assessment of evidence from these cases—China, Cuba, Singapore, Vietnam, Burma, the United Arab Emirates, Saudi Arabia, and Egypt—the study contends that the Internet is not necessarily a threat to authoritarian regimes.
Book Synopsis Proceedings of World Conference on Information Systems for Business Management by : Andres Iglesias
Download or read book Proceedings of World Conference on Information Systems for Business Management written by Andres Iglesias and published by Springer Nature. This book was released on with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Interpretable Machine Learning by : Christoph Molnar
Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Book Synopsis Big Data and Social Science by : Ian Foster
Download or read book Big Data and Social Science written by Ian Foster and published by CRC Press. This book was released on 2016-08-10 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.
Book Synopsis Theories of Distributive Justice by : John E. Roemer
Download or read book Theories of Distributive Justice written by John E. Roemer and published by Harvard University Press. This book was released on 1996 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: John Roemer has written a unique book that critiques economists' conceptions of justice from a philosophical perspective and philosophical theories of distributive justice from an economic one.
