Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Algorithms For The People
Download Algorithms For The People full books in PDF, epub, and Kindle. Read online Algorithms For The People ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Algorithms for the People by : Josh Simons
Download or read book Algorithms for the People written by Josh Simons and published by Princeton University Press. This book was released on 2023-01-10 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to put democracy at the heart of AI governance Artificial intelligence and machine learning are reshaping our world. Police forces use them to decide where to send police officers, judges to decide whom to release on bail, welfare agencies to decide which children are at risk of abuse, and Facebook and Google to rank content and distribute ads. In these spheres, and many others, powerful prediction tools are changing how decisions are made, narrowing opportunities for the exercise of judgment, empathy, and creativity. In Algorithms for the People, Josh Simons flips the narrative about how we govern these technologies. Instead of examining the impact of technology on democracy, he explores how to put democracy at the heart of AI governance. Drawing on his experience as a research fellow at Harvard University, a visiting research scientist on Facebook’s Responsible AI team, and a policy advisor to the UK’s Labour Party, Simons gets under the hood of predictive technologies, offering an accessible account of how they work, why they matter, and how to regulate the institutions that build and use them. He argues that prediction is political: human choices about how to design and use predictive tools shape their effects. Approaching predictive technologies through the lens of political theory casts new light on how democracies should govern political choices made outside the sphere of representative politics. Showing the connection between technology regulation and democratic reform, Simons argues that we must go beyond conventional theorizing of AI ethics to wrestle with fundamental moral and political questions about how the governance of technology can support the flourishing of democracy.
Book Synopsis Algorithms, Humans, and Interactions by : Don Donghee Shin
Download or read book Algorithms, Humans, and Interactions written by Don Donghee Shin and published by Taylor & Francis. This book was released on 2023-01-31 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amidst the rampant use of algorithmization enabled by AI, the common theme of AI systems is the human factor. Humans play an essential role in designing, developing, and operationalizing AI systems. We have a remit to ensure those systems run transparently, perform equitably, value our privacy, and effectively fulfill human needs. This book takes an interdisciplinary approach to contribute to the ongoing development of human–AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society. The readers of this book will benefit by gaining insights into various perspectives about how AI has impacted people and society and how it will do so in the future, and understanding how we can design algorithm systems that are beneficial, legitimate, usable by humans, and designed considering and respecting human values. This book provides a horizontal set of guidelines and insight into how humans can be empowered by making choices about AI designs that allow them meaningful control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable the proper attribution of responsibility to humans. This book helps us understand the possibilities of what AI systems can do and how they can and should be integrated into our society.
Book Synopsis Big Data And The Computable Society: Algorithms And People In The Digital World by : Talia Domenico
Download or read book Big Data And The Computable Society: Algorithms And People In The Digital World written by Talia Domenico and published by World Scientific. This book was released on 2019-03-21 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data and algorithms are changing our life. The awareness of importance and pervasiveness of the digital revolution is the primary element from which to start a path of knowledge to grasp what is happening in the world of big data and digital innovation and to understand these impacts on our minds and relationships between people, traceability and the computability of behavior of individuals and social organizations.This book analyses contemporary and future issues related to big data, algorithms, data analysis, artificial intelligence and the internet. It introduces and discusses relationships between digital technologies and power, the role of the pervasive algorithms in our life and the risk of technological alienation, the relationships between the use of big data, the privacy of citizens and the exercise of democracy, the techniques of artificial intelligence and their impact on the labor world, the Industry 4.0 at the time of the Internet of Things, social media, open data and public innovation.Each chapter raises a set of questions and answers to help the reader to know the key issues in the enormous maze that the tools of info-communication have built around us.
Book Synopsis The Social Power of Algorithms by : David Beer
Download or read book The Social Power of Algorithms written by David Beer and published by Routledge. This book was released on 2019-10-23 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The vast circulations of mobile devices, sensors and data mean that the social world is now defined by a complex interweaving of human and machine agency. Key to this is the growing power of algorithms – the decision-making parts of code – in our software dense and data rich environments. Algorithms can shape how we are retreated, what we know, who we connect with and what we encounter, and they present us with some important questions about how society operates and how we understand it. This book offers a series of concepts, approaches and ideas for understanding the relations between algorithms and power. Each chapter provides a unique perspective on the integration of algorithms into the social world. As such, this book directly tackles some of the most important questions facing the social sciences today. This book was originally published as a special issue of Information, Communication & Society.
Book Synopsis Algorithms and Subjectivity by : Eran Fisher
Download or read book Algorithms and Subjectivity written by Eran Fisher and published by Routledge. This book was released on 2022-01-26 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thought-provoking volume, Eran Fisher interrogates the relationship between algorithms as epistemic devices and modern notions of subjectivity. Over the past few decades, as the instrumentalization of algorithms has created knowledge that informs our decisions, preferences, tastes, and actions, and the very sense of who we are, they have also undercut, and arguably undermined, the Enlightenment-era ideal of the subject. Fisher finds that as algorithms enable a reality in which knowledge is created by circumventing the participation of the self, they also challenge contemporary notions of subjectivity. Through four case-studies, this book provides an empirical and theoretical investigation of this transformation, analyzing how algorithmic knowledge differs from the ideas of critical knowledge which emerged during modernity – Fisher argues that algorithms create a new type of knowledge, which in turn changes our fundamental sense of self and our concept of subjectivity. This book will make a timely contribution to the social study of algorithms and will prove especially valuable for scholars working at the intersections of media and communication studies, internet studies, information studies, the sociology of technology, the philosophy of technology, and science and technology studies.
Book Synopsis Artificial Intelligence for Humans by : Jeff Heaton
Download or read book Artificial Intelligence for Humans written by Jeff Heaton and published by Createspace Independent Publishing Platform. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: « Artifical Intelligence for Humans is a book series meant to teach AI to those readers who lack an extensive mathematical background. The reader only needs knowledge of basic college algebra and computer programming. Additional topics are thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, and Python. Other languages are planned. »--
Book Synopsis Living with Algorithms by : Ignacio Siles
Download or read book Living with Algorithms written by Ignacio Siles and published by MIT Press. This book was released on 2023-04-25 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: A nuanced account from a user perspective of what it’s like to live in a datafied world. We live in a media-saturated society that increasingly transforms our experiences, relations, and identities into data others can analyze and monetize. Algorithms are key to this process, surveilling our most mundane practices, and to many, their control over our lives seems absolute. In Living with Algorithms, Ignacio Siles critically challenges this view by surveying user dynamics in the global south across three algorithmic platforms—Netflix, Spotify, and TikTok—and finds, surprisingly, a more balanced relationship. Drawing on a wealth of empirical evidence that privileges the user over the corporate, Siles examines the personal relationships that have formed between users and algorithms as Latin Americans have integrated these systems into the structures of everyday life, enacted them ritually, participated in public with and through them, and thwarted them. Sometimes users follow algorithms, Siles finds, and sometimes users resist them. At times, users do both. Agency lies in the navigation of the spaces in-between. By analyzing what we do with algorithms rather than what algorithms do to us, Living with Algorithms clarifies the debate over the future of datafication and whether we have a say in its development. Concentrating on an understudied region of the global south, the book provides a new perspective on the commonalities and differences among users within a global ecology of technologies.
Book Synopsis Fun with Algorithms by : Evangelos Kranakis
Download or read book Fun with Algorithms written by Evangelos Kranakis and published by Springer. This book was released on 2012-05-31 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference, FUN 2012, held in June 2012 in Venice, Italy. The 34 revised full papers were carefully reviewed and selected from 56 submissions. They feature a large variety of topics in the field of the use, design, and analysis of algorithms and data structures, focusing on results that provide amusing, witty but nonetheless original and scientifically profound contributions to the area.
Book Synopsis Evolutionary Optimization Algorithms by : Dan Simon
Download or read book Evolutionary Optimization Algorithms written by Dan Simon and published by John Wiley & Sons. This book was released on 2013-06-13 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear but theoretically rigorous understanding of evolutionary algorithms, with an emphasis on implementation Gives a careful treatment of recently developed EAs including opposition-based learning, artificial fish swarms, bacterial foraging, and many others and discusses their similarities and differences from more well-established EAs Includes chapter-end problems plus a solutions manual available online for instructors Offers simple examples that provide the reader with an intuitive understanding of the theory Features source code for the examples available on the author's website Provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.
Book Synopsis The Threats of Algorithms and AI to Civil Rights, Legal Remedies, and American Jurisprudence by : Alfred R. Cowger
Download or read book The Threats of Algorithms and AI to Civil Rights, Legal Remedies, and American Jurisprudence written by Alfred R. Cowger and published by Rowman & Littlefield. This book was released on 2020-10-06 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Threats of Algorithms and A.I. to Civil Rights, Legal Remedies, and American Jurisprudence addresses the many threats to American jurisprudence caused by the growing use of algorithms and artificial intelligence (A.I.). Although algorithms prove valuable to society, that value may also lead to the destruction of the foundations of American jurisprudence by threatening constitutional rights of individuals, creating new liabilities for business managers and board members, disrupting commerce, interfering with long-standing legal remedies, and causing chaos in courtrooms trying to adjudge lawsuits. Alfred R. Cowger, Jr. explains these threats and provides potential solutions for both the general public and legal practitioners. Scholars of legal studies, media studies, and political science will find this book particularly useful.
Download or read book Algorithms written by Tobias Matzner and published by Taylor & Francis. This book was released on 2023-10-02 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms: Technology, Culture, Politics develops a relational, situated approach to algorithms. It takes a middle ground between theories that give the algorithm a singular and stable meaning in using it as a central analytic category for contemporary society and theories that dissolve the term into the details of empirical studies. The book discusses algorithms in relation to hardware and material conditions, code, data, and subjects such as users, programmers, but also “data doubles”. The individual chapters bridge critical discussions on bias, exclusion, or responsibility with the necessary detail on the contemporary state of information technology. The examples include state-of-the-art applications of machine learning, such as self-driving cars, and large language models such as GPT. The book will be of interest for everyone engaging critically with algorithms, particularly in the social sciences, media studies, STS, political theory, or philosophy. With its broad scope it can serve as a high-level introduction that picks up and builds on more than two decades of critical research on algorithms.
Book Synopsis The Economy of Algorithms by : Marek Kowalkiewicz
Download or read book The Economy of Algorithms written by Marek Kowalkiewicz and published by Policy Press. This book was released on 2024-03-05 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: An informed general readership, including students and interested non-specialists. Academics from business, sociology, politics, management, science and technology studies and emerging fields such as critical algorithm studies will find it a stimulating and entertaining read. Reflective practitioners who are beginning to question the potential social impacts of their work (see current explosion of tech worker activism).
Book Synopsis Algorithms & Architectures by : Tatsuo Ishiguro
Download or read book Algorithms & Architectures written by Tatsuo Ishiguro and published by SIAM. This book was released on 1993-01-01 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Algorithms and Autonomy by : Alan Rubel
Download or read book Algorithms and Autonomy written by Alan Rubel and published by Cambridge University Press. This book was released on 2021-05-20 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines how algorithms in criminal justice, education, housing, elections and beyond affect autonomy, freedom, and democracy. This title is also available as Open Access on Cambridge Core.
Book Synopsis The Feel of Algorithms by : Minna Ruckenstein
Download or read book The Feel of Algorithms written by Minna Ruckenstein and published by Univ of California Press. This book was released on 2023-05-23 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why do we feel excited, afraid, and frustrated by algorithms? The Feel of Algorithms brings relatable first-person accounts of what it means to experience algorithms emotionally alongside interdisciplinary social science research, to reveal how political and economic processes are felt in the everyday. People’s algorithm stories might fail to separate fact and misconception, and circulate wishful, erroneous, or fearful views of digital technologies. Yet rather than treating algorithmic folklore as evidence of ignorance, this novel book explains why personal anecdotes are an important source of algorithmic knowledge. Minna Ruckenstein argues that we get to know algorithms by feeling their actions and telling stories about them. The Feel of Algorithms shows how taking everyday algorithmic emotions seriously balances the current discussion, which has a tendency to draw conclusions based on celebratory or oppositional responses to imagined future effects. An everyday focus zooms into experiences of pleasure, fear, and irritation, highlighting how political aims and ethical tensions play out in visions, practices, and emotional responses. This book shows that feelings aid in recognizing troubling practices, and also calls for alternatives that are currently ignored or suppressed.
Download or read book If ... Then written by Taina Bucher and published by Oxford University Press. This book was released on 2018 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction : programmed sociality -- The multiplicity of algorithms -- Neither black nor box : (un)knowing algorithms -- Life at the top : engineering participation -- Affective landscapes : everyday encounters with algorithms -- Programming the news : when algorithms come to matter -- Conclusion : algorithmic life
Book Synopsis Algorithms, Automation, and News by : Neil Thurman
Download or read book Algorithms, Automation, and News written by Neil Thurman and published by Routledge. This book was released on 2021-05-18 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the growing importance of algorithms and automation—including emerging forms of artificial intelligence—in the gathering, composition, and distribution of news. In it the authors connect a long line of research on journalism and computation with scholarly and professional terrain yet to be explored. Taken as a whole, these chapters share some of the noble ambitions of the pioneering publications on ‘reporting algorithms’, such as a desire to see computing help journalists in their watchdog role by holding power to account. However, they also go further, firstly by addressing the fuller range of technologies that computational journalism now consists of: from chatbots and recommender systems to artificial intelligence and atomised journalism. Secondly, they advance the literature by demonstrating the increased variety of uses for these technologies, including engaging underserved audiences, selling subscriptions, and recombining and re-using content. Thirdly, they problematise computational journalism by, for example, pointing out some of the challenges inherent in applying artificial intelligence to investigative journalism and in trying to preserve public service values. Fourthly, they offer suggestions for future research and practice, including by presenting a framework for developing democratic news recommenders and another that may help us think about computational journalism in a more integrated, structured manner. The chapters in this book were originally published as a special issue of Digital Journalism.
