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.

Download or read book EdgeAI for Algorithmic Government written by Rajan Gupta and published by Springer Nature. This book was released on 2023-03-26 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Algorithmic Reason written by Claudia Aradau and published by Oxford University Press. This book was released on 2022-04-25 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. Are algorithms ruling the world today? Is artificial intelligence making life-and-death decisions? Are social media companies able to manipulate elections? As we are confronted with public and academic anxieties about unprecedented changes, this book offers a different analytical prism through which these transformations can be explored. Claudia Aradau and Tobias Blanke develop conceptual and methodological tools to understand how algorithmic operations shape the government of self and other. They explore the emergence of algorithmic reason through rationalities, materializations, and interventions, and trace how algorithmic rationalities of decomposition, recomposition, and partitioning are materialized in the construction of dangerous others, the power of platforms, and the production of economic value. The book provides a global trandisciplinary perspective on algorithmic operations, drawing on qualitative and digital methods to investigate controversies ranging from mass surveillance and the Cambridge Analytica scandal in the UK to predictive policing in the US, and from the use of facial recognition in China and drone targeting in Pakistan to the regulation of hate speech in Germany.

Download or read book The Algorithmic Society written by Marc Schuilenburg and published by Routledge. This book was released on 2020-12-29 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: We live in an algorithmic society. Algorithms have become the main mediator through which power is enacted in our society. This book brings together three academic fields – Public Administration, Criminal Justice and Urban Governance – into a single conceptual framework, and offers a broad cultural-political analysis, addressing critical and ethical issues of algorithms. Governments are increasingly turning towards algorithms to predict criminality, deliver public services, allocate resources, and calculate recidivism rates. Mind-boggling amounts of data regarding our daily actions are analysed to make decisions that manage, control, and nudge our behaviour in everyday life. The contributions in this book offer a broad analysis of the mechanisms and social implications of algorithmic governance. Reporting from the cutting edge of scientific research, the result is illuminating and useful for understanding the relations between algorithms and power.Topics covered include: Algorithmic governmentality Transparency and accountability Fairness in criminal justice and predictive policing Principles of good digital administration Artificial Intelligence (AI) in the smart city This book is essential reading for students and scholars of Sociology, Criminology, Public Administration, Political Sciences, and Cultural Theory interested in the integration of algorithms into the governance of society.

Download or read book Public Policy Analytics written by Ken Steif and published by CRC Press. This book was released on 2021-08-18 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.

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.

Download or read book A Citizen s Guide to Artificial Intelligence written by John Zerilli and published by MIT Press. This book was released on 2021-02-23 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.

Download or read book TURKISH POLICY QUARTERLY VOL 20 NO 4 WINTER 2021 22 written by Merve Hickok and published by TRANSATLANTIC POLICY QUARTERLY. This book was released on 2022-03-01 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: How much time is twenty years? Long enough to inspire, or short enough to be unnoticeable? Turkish Policy Quarterly (TPQ) was published for the first time in February 2002. We are celebrating its 20th anniversary with this issue. While much has changed since then, we believe the values that guide TPQ are as relevant and important as ever. There was then and there is now a chance for us all to contribute to a better world. TPQ has always adhered to and will continue to adhere to this ideal. In return, its global audiences have relied on TPQ since the very first day to provide them with credible, balanced, inter-disciplinary, and independent coverage. TPQ's evolution has been complex, involving constant efforts to understand new technologies and redefine fundamental concepts within the realm of policy. Over the last two decades, TPQ faced numerous challenges as the world experienced devastating depressions, wars, and economic and cultural changes as it became widely regarded as an influential journal. This really had nothing to do with luck. TPQ team and our great contributing writers have always been accountable for making TPQ's stories come alive. Yet, the question remains as to how long, or short, twenty years actually is. It wasn't difficult to choose the focus of TPQ’s 80th issue. Artificial intelligence has fast become part of everyday life, and we wanted to understand how it fits into democratic values. It was important for us to ask how we can ensure that AI and digital policies will promote broad social inclusion, which relies on fundamental rights, democratic institutions, and the rule of law. There seems to be no shortage of principles and concepts that support the fair and responsible use of AI systems, yet it's difficult to determine how to efficiently manage or deploy those systems today. Merve Hickok and Marc Rotenberg, two TPQ Advisory Board members, wrote the lead article for this issue. In a world where data means power, vast amounts of data are collected every day by both private companies and government agencies, which then use this data to fuel complex systems for automated decision-making now broadly described as “Artificial Intelligence.” Activities managed with these AI systems range from policing to military, to access to public services and resources such as benefits, education, and employment. The expected benefits from having national talent, capacity, and capabilities to develop and deploy these systems also drive a lot of national governments to prioritize AI and digital policies. A crucial question for policymakers is how to reap the benefits while reducing the negative impacts of these sociotechnical systems on society. Gabriela Ramos, Assistant Director-General for Social and Human Sciences of UNESCO, has written an article entitled "Ethics of AI and Democracy: UNESCO's Recommendation's Insights". In her article, she discusses how artificial intelligence (AI) can affect democracy. The article discusses the ways in which Artificial Intelligence is affecting democratic processes, democratic values, and the political and social behavior of citizens. The article notes that the use of artificial intelligence, and its potential abuse by some government entities, as well as by big private corporations, poses a serious threat to rights-based democratic institutions, processes, and norms. UNESCO announced a remarkable consensus agreement among 193 member states creating the first-ever global standard on the ethics of AI that could serve as a blueprint for national AI legislation and a global AI ethics benchmark. Paul Nemitz, Principal Adviser on Justice Policy at the EU Commission, addresses the question of what drives democracy. In his view, technology has undoubtedly shaped democracy. However, technology as well as legal rules regarding technology have shaped and have been shaped by democracy. This is why he says it is essential to develop and use technology according to democratic principles. He writes that there are libertarians today who purposefully design technological systems in such a way that challenges democratic control. It is, however, clear that there is enough counterpower and engagement, at least in Europe, to keep democracy functioning, as long as we work together to create rules that are sensible for democracy's future and confirm democracy's supremacy over technology and business interests. Research associate at the University of Oxford and Professor at European University Cyprus, Paul Timmers, writes about how AI challenges sovereignty and democracy. AI is wonderful. AI is scary. AI is the path to paradise. AI is the path to hell. What do we make of these contradictory images when, in a world of AI, we seek to both protect sovereignty and respect democratic values? Neither a techno-utopian nor a dystopian view of AI is helpful. The direction of travel must be global guidance and national or regional AI law that stresses end-to-end accountability and AI transparency, while recognizing practical and fundamental limits. Tania Sourdin, Dean of Newcastle Law School, Australia, asks: what if judges were replaced by AI? She believes that although AI will increasingly be used to support judges when making decisions in most jurisdictions, there will also be attempts over the next decade to totally replace judges with AI. Increasingly, we are seeing a shift towards Judge AI, and to a certain extent we are seeing shifts towards supporting Judge AI, which raises concerns related to democratic values, structures, and what judicial independence means. The reason for this may be partly due to the systems used being set up to support a legal interpretation that fails to allow for a nuanced and contextual view of the law. Pam Dixon, Executive Director of the World Privacy Forum, writes about biometric technologies. She says that biometric technologies encompass many types, or modalities, of biometrics today, such as face recognition, iris recognition, fingerprint recognition, and DNA recognition, both separately and in combination. A growing body of law and regulations seeks to mitigate the risks associated with biometric technologies as they are increasingly understood as a technology of concern based on scientific data. We invite you to learn more about how our world is changing. As a way to honor this milestone, we have assembled a list of articles from around the world from some of the best experts in their field. This issue would not be possible without the assistance of many people. In addition to the contributing authors, there were many other individuals who contributed greatly. TPQ's team is proud to present you with this edition.

Download or read book Algorithmic Regulation written by Karen Yeung and published by Oxford University Press. This book was released on 2019-09-05 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the power and sophistication of of 'big data' and predictive analytics has continued to expand, so too has policy and public concern about the use of algorithms in contemporary life. This is hardly surprising given our increasing reliance on algorithms in daily life, touching policy sectors from healthcare, transport, finance, consumer retail, manufacturing education, and employment through to public service provision and the operation of the criminal justice system. This has prompted concerns about the need and importance of holding algorithmic power to account, yet it is far from clear that existing legal and other oversight mechanisms are up to the task. This collection of essays, edited by two leading regulatory governance scholars, offers a critical exploration of 'algorithmic regulation', understood both as a means for co-ordinating and regulating social action and decision-making, as well as the need for institutional mechanisms through which the power of algorithms and algorithmic systems might themselves be regulated. It offers a unique perspective that is likely to become a significant reference point for the ever-growing debates about the power of algorithms in daily life in the worlds of research, policy and practice. The range of contributors are drawn from a broad range of disciplinary perspectives including law, public administration, applied philosophy, data science and artificial intelligence. Taken together, they highlight the rise of algorithmic power, the potential benefits and risks associated with this power, the way in which Sheila Jasanoff's long-standing claim that 'technology is politics' has been thrown into sharp relief by the speed and scale at which algorithmic systems are proliferating, and the urgent need for wider public debate and engagement of their underlying values and value trade-offs, the way in which they affect individual and collective decision-making and action, and effective and legitimate mechanisms by and through which algorithmic power is held to account.

Download or read book Computational Propaganda written by Samuel C. Woolley and published by Oxford Studies in Digital Poli. This book was released on 2018-11-12 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media platforms do not just circulate political ideas, they support manipulative disinformation campaigns. While some of these disinformation campaigns are carried out directly by individuals, most are waged by software, commonly known as bots, programmed to perform simple, repetitive, robotic tasks. Some social media bots collect and distribute legitimate information, while others communicate with and harass people, manipulate trending algorithms, and inundate systems with spam. Campaigns made up of bots, fake accounts, and trolls can be coordinated by one person, or a small group of people, to give the illusion of large-scale consensus. Some political regimes use political bots to silence opponents and to push official state messaging, to sway the vote during elections, and to defame critics, human rights defenders, civil society groups, and journalists. This book argues that such automation and platform manipulation, amounts to a new political communications mechanism that Samuel Woolley and Philip N. Noward call "computational propaganda." This differs from older styles of propaganda in that it uses algorithms, automation, and human curation to purposefully distribute misleading information over social media networks while it actively learns from and mimicks real people so as to manipulate public opinion across a diverse range of platforms and device networks. This book includes cases of computational propaganda from nine countries (both democratic and authoritarian) and four continents (North and South America, Europe, and Asia), covering propaganda efforts over a wide array of social media platforms and usage in different types of political processes (elections, referenda, and during political crises).

Download or read book Algorithmic Institutionalism written by Ricardo Fabrino Mendonca and published by Oxford University Press. This book was released on 2023-12-12 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic Institutionalism is a multidisciplinary and innovative perspective on algorithms and the way they affect individuals and societies.

Download or read book Handbook of Digital Politics written by Stephen Coleman and published by Edward Elgar Publishing. This book was released on 2023-11-03 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thoroughly revised second edition Handbook examines the latest knowledge and perspectives on digital politics. Leading scholars explore the expansion of digital technologies, channels and styles as it shapes political dynamics.

Download or read book Media Technologies written by Tarleton Gillespie and published by MIT Press. This book was released on 2014-01-24 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scholars from communication and media studies join those from science and technology studies to examine media technologies as complex, sociomaterial phenomena. In recent years, scholarship around media technologies has finally shed the assumption that these technologies are separate from and powerfully determining of social life, looking at them instead as produced by and embedded in distinct social, cultural, and political practices. Communication and media scholars have increasingly taken theoretical perspectives originating in science and technology studies (STS), while some STS scholars interested in information technologies have linked their research to media studies inquiries into the symbolic dimensions of these tools. In this volume, scholars from both fields come together to advance this view of media technologies as complex sociomaterial phenomena. The contributors first address the relationship between materiality and mediation, considering such topics as the lived realities of network infrastructure. The contributors then highlight media technologies as always in motion, held together through the minute, unobserved work of many, including efforts to keep these technologies alive. Contributors Pablo J. Boczkowski, Geoffrey C. Bowker, Finn Brunton, Gabriella Coleman, Gregory J. Downey, Kirsten A. Foot, Tarleton Gillespie, Steven J. Jackson, Christopher M. Kelty, Leah A. Lievrouw, Sonia Livingstone, Ignacio Siles, Jonathan Sterne, Lucy Suchman, Fred Turner

Download or read book Automated decision making in the public sector Artificial Intelligence vs Administrative Intelligence written by Hortense Fricker and published by GRIN Verlag. This book was released on 2021-01-12 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2020 in the subject Organisation and administration - Public administration, grade: 1,1, Free University of Berlin (Otto-Suhr-Institut), language: English, abstract: The paper is divided in two main parts. The first part introduces the agency theory and its application to two relevant aspects: the agency theory in the public sector and the agency theory involving artificial agents. The second part aims at providing answers to the research questions, by discussing the changes in the agency of the public administrations, as well as the changes in the control methods used to monitor these administrations. Finally, the conclusion summarizes the answer to the research questions, exposes the implications and limits of this paper and offers leads for possible future research on this topic. Automated decision-making (ADM), a type of algorithm which supports decision-making and combines advanced analytics and data minig to make predictions, has been developed in various public sector fields, from predictive policing to healthcare, and is increasingly helping public agents by delivering analysis that they can leverage to make their decisions. This technique involves three main stakeholders: the programmer of the algorithmic system; the user, who is the public agent operating the ADM system; and the individuals affected by the decisions made using ADM. This paper focuses on the consequences on the governance and responsibility of administrations increasingly relying on algorithms to make their decisions. Does the introduction of ADM in public administrations transform their agency? If so, why does this change occur and how does it impact the control methods required to supervise the actions of administrations? The chosen approach is the agency theory, which is suited to deal with delegation, specifically between actors from different contextual backgrounds. France has been chosen as the case-study for this topic, as it has put in place relevant laws and public institutions in order to deal with public ADM. The method chosen to investigate this issue is based on a literature review, as it is appropriate to approach a case-study. This includes scientific papers for the technical aspects, from computer sciences to social and political sciences, as well as reports from governments, international institutions and private companies. More general literature, such as articles and blog posts are used for information on the use of ADM in France and the public debate surrounding it. Finally, the methodology also includes semi-structured interviews led with experts working on the topic of ADM in the public sector.

Download or read book The Myth of Artificial Intelligence written by Erik J. Larson and published by Harvard University Press. This book was released on 2021-04-06 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.

Download or read book The Ethical Algorithm written by Michael Kearns and published by Oxford University Press. This book was released on 2019-10-04 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.

Download or read book Government Use of Artificial Intelligence in New Zealand written by Colin Gavaghan and published by . This book was released on 2019 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This is the first major report from the Artificial Intelligence and the Law Project. The overall focus of the report is on the regulatory issues surrounding uses of artificial intelligence (AI) in New Zealand. There are many types of AI systems, and many spheres within which AI systems are used (in New Zealand and beyond). Phase 1 of the project focuses on regulatory issues surrounding the use of predictive AI models in New Zealand government departments. As discussed in the report, while there are many types of AI model, the concept of a “predictive model” picks out a reasonably well-defined class of models that share certain commonalities and are fairly well characterisable as a regulatory target. The report specifically focuses on the use of predictive models in the public sector because the researchers want to begin by discussing regulatory options in a sphere where the New Zealand Government can readily take action. New Zealand’s Government can relatively easily effect changes in the way its own departments and public institutions operate. The report identifies and discusses a number of primary concerns: Accuracy, Human control, Transparency and a right to reasons/explanations, Bias, fairness and discrimination, Privacy. Individual rights are vital for any democracy but exclusive reliance should not be placed on individual rights models that depend on affected parties holding predictive algorithms to account. Often, individuals will lack the resources to do so. Furthermore, individual rights models might offer limited efficacy in monitoring group harms. With regard to oversight and regulation, one of the key recommendations of the report is that Government should consider the establishment of a regulatory/oversight agency. Several possible models for the new regulatory agency are proposed in the report. The new regulator could serve a range of other functions, including: Producing best practice guidelines; Maintaining a register of algorithms used in government; Producing an annual public report on such uses; Conducting ongoing monitoring on the effects of these tools. The report indicates preference for a relatively “hard-edged” regulatory agency, with the authority to demand information and answers, and to deny permission for certain proposals. However, even a light-touch regulatory agency could serve an important function. The researchers stress the need for consultation with a wide range of stakeholders across New Zealand society, especially with populations likely to be affected by algorithmic decisions, and with those likely to be under-represented in construction and training. This is likely to include those in lower socio-economic classes, and Māori and Pacific Island populations. Quite simply, they are likely to have insights, concerns and perspectives that will not be available to even the most well-intentioned of outside observers."--Publisher's website.