Generative AI at UVA

Introduction to Artificial Intelligence (AI) provides a comprehensive overview of the latest trends in artificial intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics.
The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities. Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of AI and understand the impact that this transformative technology will have on our lives in the coming years.

Delving into the deeply enigmatic nature of Artificial Intelligence, AI: Unexplainable, Unpredictable, Uncontrollable explores the various reasons why the field is so challenging. Written by one of the founders of the field of AI safety, this book addresses some of the most fascinating questions facing humanity, including the nature of intelligence, consciousness, values, and knowledge.
Moving from a broad introduction to the core problems, such as the unpredictability of AI outcomes or the difficulty in explaining AI decisions, this book arrives at more complex questions of ownership and control, conducting an in-depth analysis of potential hazards and unintentional consequences. The book then concludes with philosophical and existential considerations, probing into questions of AI personhood, consciousness, and the distinction between human intelligence and artificial general intelligence.

"After reading Mitchell's guide, you'll know what you don't know and what other people don't know, even though they claim to know it. And that's invaluable." -The New York Times A leading computer scientist brings human sense to the AI bubble No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI's turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent--really--are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize-winning author of the modern classic Gödel, Escher, Bach, who explains why he is "terrified" about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell's humor and personal observations. This frank, lively book is an indispensable guide to understanding today's AI, its quest for "human-level" intelligence, and its impact on the future for us all.

In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally-hiring, driving, paying bills, even choosing romantic partners-that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology.Making a case against technochauvinism-the belief that technology is always the solution-Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

The pressure to "be digital" has never been greater, but you can meet the challenge. The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive in a world driven by data and powered by algorithms, we must learn to see, think, and act in new ways. We need to develop a digital mindset. But what does that mean? Some fear it means that we all need to become technologists who master the intricacies of coding, algorithms, AI, machine learning, robotics, and who-knows-what's-next. That's not the case. You can develop a digital mindset, and this book shows you how. It introduces three approaches--Collaboration, Computation, and Change--and the perspectives and actions within each approach that will enable you to develop the digital skills you need. With a digital mindset, you'll ask the right questions, make smart decisions, and appreciate new possibilities for a digital future. Leaders who adopt these approaches will be able to develop their organization's talent and prepare their company for successful and continued digital transformation. Award-winning researchers and professors Paul Leonardi and Tsedal Neeley will show you how to do it and let you in on the surprising and welcome secret: developing a digital mindset isn't as hard as you think. Most people can become digitally savvy if they follow the "30 percent rule"--the minimum threshold that gives us enough digital literacy to understand and take advantage of the digital threads woven into the fabric of our world. A digital mindset will future-proof you, your career, and your organization. Learn how to develop one here.

If you were accused of a crime, who would you rather decide your sentence--a mathematically consistent algorithm incapable of empathy or a compassionate human judge prone to bias and error? What if you want to buy a driverless car and must choose between one programmed to save as many lives as possible and another that prioritizes the lives of its own passengers? And would you agree to share your family's full medical history if you were told that it would help researchers find a cure for cancer? These are just some of the dilemmas that we are beginning to face as we approach the age of the algorithm, when it feels as if the machines reign supreme. Already, these lines of code are telling us what to watch, where to go, whom to date, and even whom to send to jail. But as we rely on algorithms to automate big, important decisions--in crime, justice, healthcare, transportation, and money--they raise questions about what we want our world to look like. What matters most: Helping doctors with diagnosis or preserving privacy? Protecting victims of crime or preventing innocent people being falsely accused? Hello World takes us on a tour through the good, the bad, and the downright ugly of the algorithms that surround us on a daily basis. Mathematician Hannah Fry reveals their inner workings, showing us how algorithms are written and implemented, and demonstrates the ways in which human bias can literally be written into the code. By weaving in relatable, real world stories with accessible explanations of the underlying mathematics that power algorithms, Hello World helps us to determine their power, expose their limitations, and examine whether they really are improvement on the human systems they replace.

Artificial Intelligence (AI) fascinates, challenges and disturbs us. There are many voices in society that predict drastic changes that may come as a consequence of AI - a possible apocalypse or Eden on earth. However, only a few people truly understand what AI is, what it can do and what its limitations are. Understanding Artificial Intelligence explains, through a straightforward narrative and amusing illustrations, how AI works. It is written for a non-specialist reader, adult or adolescent, who is interested in AI but is missing the key to understanding how it works. The author demystifies the creation of the so-called "intelligent" machine and explains the different methods that are used in AI. It presents new possibilities offered by algorithms and the difficulties that researchers, engineers and users face when building and using such algorithms. Each chapter allows the reader to discover a new aspect of AI and to become fully aware of the possibilities offered by this rich field.

This book claims that artificial intelligence (AI) may affect our freedom at work, in our daily life, and in the political sphere. The author provides a philosophical framework to help make sense of and govern the ethical and political impact of AI in these domains. AI presents great opportunities and risks, raising the question of how to reap its potential benefits without endangering basic human and societal values. The author identifies three major risks for human freedom. First, AI offers employers new forms of control of the workforce, opening the door to new forms of domination and exploitation. Second, it may reduce our capacity to remain in control of an responsible for our decisions and actions, thereby affecting our free will and moral responsibility. Third, it may increase the power of governments and tech companies to steer the political debate, thereby affecting the possibility of a free and inclusive political participation. The author claims that it is still possible to promote human freedom in our interactions with AI. This requires designing AI systems that help promote workers' freedom, strengthen human control and responsibility, and foster a free, active, and inclusive democratic participation.

A new approach to the challenges surrounding artificial intelligence that argues for assessing AI actions as if they came from a human being
Intelligent machines present us every day with urgent ethical challenges. Is the facial recognition software used by an agency fair? When algorithms determine questions of justice, finance, health, and defense, are the decisions proportionate, equitable, transparent, and accountable? How do we harness this extraordinary technology to empower rather than oppress?
Despite increasingly sophisticated programming, artificial intelligences share none of our essential human characteristics—sentience, physical sensation, emotional responsiveness, versatile general intelligence. However, Nigel Shadbolt and Roger Hampson argue, if we assess AI decisions, products, and calls for action as if they came from a human being, we can avert a disastrous and amoral future. The authors go beyond the headlines about rampant robots to apply established moral principles in shaping our AI future. Their new framework constitutes a how-to for building a more ethical machine intelligence.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us--and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole--and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called "artificial intelligence." They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian's riveting account, we meet the alignment problem's "first-responders," and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they--and we--succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity's biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture--and finds a story by turns harrowing and hopeful.

In the past decade, artificial intelligence (AI) has become a disruptive force around the world, offering enormous potential for innovation but also creating hazards and risks for individuals and the societies in which they live. This volume addresses the most pressing philosophical, ethical, legal, and societal challenges posed by AI. Contributors from different disciplines and sectors explore the foundational and normative aspects of responsible AI and provide a basis for a transdisciplinary approach to responsible AI. This work, which is designed to foster future discussions to develop proportional approaches to AI governance, will enable scholars, scientists, and other actors to identify normative frameworks for AI to allow societies, states, and the international community to unlock the potential for responsible innovation in this critical field. This book is also available as Open Access on Cambridge Core.

In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values.  Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.  

NATIONAL BESTSELLER * "The conscience of the AI revolution" (Fortune) explains how we've arrived at an era of AI harms and oppression, and what we can do to avoid its pitfalls. "Dr. Joy Buolamwini has been an essential figure in bringing irresponsible, profit-hungry tech giants to their knees. If you're going to read only one book about AI, this should be it."--Darren Walker, president of the Ford Foundation A LOS ANGELES TIMES BEST BOOK OF THE YEAR * Shortlisted for the Inc. Non-Obvious Book Award To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making. After tinkering with robotics as a high school student in Memphis and then developing mobile apps in Zambia as a Fulbright fellow, Buolamwini followed her lifelong passion for computer science, engineering, and art to MIT in 2015. As a graduate student at the "Future Factory," she did groundbreaking research that exposed widespread racial and gender bias in AI services from tech giants across the world. Unmasking AI goes beyond the headlines about existential risks produced by Big Tech. It is the remarkable story of how Buolamwini uncovered what she calls "the coded gaze"--the evidence of encoded discrimination and exclusion in tech products--and how she galvanized the movement to prevent AI harms by founding the Algorithmic Justice League. Applying an intersectional lens to both the tech industry and the research sector, she shows how racism, sexism, colorism, and ableism can overlap and render broad swaths of humanity "excoded" and therefore vulnerable in a world rapidly adopting AI tools. Computers, she reminds us, are reflections of both the aspirations and the limitations of the people who create them. Encouraging experts and non-experts alike to join this fight, Buolamwini writes, "The rising frontier for civil rights will require algorithmic justice. AI should be for the people and by the people, not just the privileged few."

A hands-on guide to evolving your company with ethical AI along with thought-provoking insights and predictions from a variety of well-known industry leaders In Our Planet Powered by AI, renowned AI strategist and pioneer Mark Minevich delivers an exciting and practical discussion of how to implement groundbreaking artificial intelligence technologies at every level of your organization. You'll learn to create sustainable, effective competitive advantage by introducing previously unheard-of levels of adaptability, resilience, and innovation into your company. Using real-world case studies from a variety of well-known industry leaders, the author explains the strategic archetypes, technological infrastructures, and cultures of sustainability you'll need to ensure your firm's next-level digital transformation takes root. You'll also discover: How AI can enable new business strategies, models, and ecosystems of innovation and growth How to develop societal impact and powerful organizational benefits with ethical AI implementations that incorporate transparency, fairness, privacy, and reliability What it means to enable all-inclusive artificial intelligence An engaging and hands-on exploration of how to take your firm to new levels of dynamism and growth, Our Planet Powered by AI will earn a place in the libraries of managers, executives, directors, and other business and technology leaders seeking to distinguish their companies in a new age of astonishing technological advancement and fierce competition.

The role of artificial intelligence in war is widely recognized, but is there also a role for AI in fostering peace and preventing conflict? AI for peace provides a new perspective on AI as a potential force for good in conflict-affected countries through its uses for early warning, combating hate speech, human rights investigations, and analyzing the effects of climate change on conflict. This book acts as an essential primer for introducing people working on peacebuilding and conflict prevention to the latest advancements in emerging AI technologies and will as as guide for ethical future practice. This book also aims to inspire data scientists to engage in the peacebuilding and prevention fields and to better understand the challenges of applying data science in conflict and fragile settings.

A radical and challenging book which argues that artificial intelligence needs a completely different set of foundations, based on ecological intelligence rather than human intelligence, if it is to deliver on the promise of a better world. This can usher in the greatest transformation in human history, an age of re-integration. Our very existence is dependent upon our context within the Earth System, and so, surely, artificial intelligence must also be grounded within this context, embracing emergence, interconnectedness and real-time feedback. We discover many positive outcomes across the societal, economic and environmental arenas and discuss how this transformation can be delivered.   Key Features: Identifies a key weakness in current AI thinking, that threatens any hope of a better world. Highlights the importance of realizing that systems theory is an essential foundation for any technology that hopes to positively transform our world. Emphasizes the need for a radical new approach to AI, based on ecological systems. Explains why ecosystem intelligence, not human intelligence, offers the best framework for AI. Examines how this new approach will impact on the three arenas of society, environment and economics, ushering in a new age of re-integration.

This volume offers a socio-technical exploration of Artificial Intelligence and the way it reflects and reproduces certain normative representations of gender and sexuality, to ultimately guide more diverse and radical discussions of life with digital technologies. Moving beyond the examination of empirical examples and technical solutions, the book approaches the relationship between queerness and AI from a theoretical perspective that posits queer theory as central to understanding AI differently. The chapters pose questions about the politics and ethics of machine embodiments and data imaginaries on the on ehand, and about technical possibilities for a production of social identities characterized by shifting diversity and multiplicity on the other, as they are mediated by and through digital technologies.

Feminist AI: Critical Perspectives on Algorithms, Data and Intelligent Machines is the first volume to bring together leading feminist thinkers from across the disciplines to explore the impact of artificial intelligence (AI) and related data-driven technologies on human society.

Caroline Criado Perez's Invisible Women: Data Bias in a World Designed for Men is a landmark, prize-winning, international bestselling examination of how a gender gap in data perpetuates bias and disadvantages women.   #1 International Bestseller   Winner of the 2019 Financial Times and McKinsey Business Book of the Year Award   Winner of the 2019 Royal Society Science Book Prize   Data is fundamental to the modern world. From economic development to health care to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this insidious bias: in time, in money, and often with their lives.   Celebrated feminist advocate Caroline Criado Perez investigates this shocking root cause of gender inequality in Invisible Women. Examining the home, the workplace, the public square, the doctor's office, and more, Criado Perez unearths a dangerous pattern in data and its consequences on women's lives. Product designers use a "one-size-fits-all" approach to everything from pianos to cell phones to voice recognition software, when in fact this approach is designed to fit men. Cities prioritize men's needs when designing public transportation, roads, and even snow removal, neglecting to consider women's safety or unique responsibilities and travel patterns. And in medical research, women have largely been excluded from studies and textbooks, leaving them chronically misunderstood, mistreated, and misdiagnosed.   Built on hundreds of studies in the United States, in the United Kingdom, and around the world, and written with energy, wit, and sparkling intelligence, this is a groundbreaking, highly readable exposé that will change the way you look at the world.

At a time when Black women are depicted as more ugly, deficient, hypersexual, and unhealthy than their non-Black counterparts, Bailey explores how Black women have bravely used social-media platforms to confront misogynoir in a number of courageous — and, most importantly, effective — ways. Focusing on queer and trans Black women, she shows us the importance of carving out digital spaces, where communities are built around queer Black webshows and hashtags like #GirlsLikeUs.

Bailey shows how Black women actively reimagine the world by engaging in powerful forms of digital resistance at a time when anti-Black misogyny is thriving on social media. A groundbreaking work, Misogynoir Transformed highlights Black women’s remarkable efforts to disrupt mainstream narratives, subvert negative stereotypes, and reclaim their lives.

How Britain lost its early dominance in computing by systematically discriminating against its most qualified workers: women. In 1944, Britain led the world in electronic computing. By 1974, the British computer industry was all but extinct. What happened in the intervening thirty years holds lessons for all postindustrial superpowers. As Britain struggled to use technology to retain its global power, the nation's inability to manage its technical labor force hobbled its transition into the information age.  In Programmed Inequality, Marie Hicks explores the story of labor feminization and gendered technocracy that undercut British efforts to computerize. That failure sprang from the government's systematic neglect of its largest trained technical workforce simply because they were women. Women were a hidden engine of growth in high technology from World War II to the 1960s. As computing experienced a gender flip, becoming male-identified in the 1960s and 1970s, labor problems grew into structural ones and gender discrimination caused the nation's largest computer user--the civil service and sprawling public sector--to make decisions that were disastrous for the British computer industry and the nation as a whole. Drawing on recently opened government files, personal interviews, and the archives of major British computer companies, Programmed Inequality takes aim at the fiction of technological meritocracy. Hicks explains why, even today, possessing technical skill is not enough to ensure that women will rise to the top in science and technology fields. Programmed Inequality shows how the disappearance of women from the field had grave macroeconomic consequences for Britain, and why the United States risks repeating those errors in the twenty-first century.

Buying groceries, tracking our health, finding a date: whatever we want to do, odds are that we can now do it online. But few of us ask how all these digital products are designed, or why. It's time we change that. Many of the services we rely on are full of oversights, biases, and downright ethical nightmares. Chatbots that harass women. Signup forms that fail anyone who's not straight. Social media sites that send peppy messages about dead relatives. Algorithms that put more black people behind bars.Technically Wrong takes an unflinching look at the values, processes, and assumptions that lead to these problems and more. Wachter-Boettcher demystifies the tech industry, leaving those of us on the other side of the screen better prepared to make informed choices about the services we use-and demand more from the companies behind them.

Artificial Intelligence (AI) is increasingly impacting many aspects of people's lives across the globe, from relatively mundane technology to more advanced digital systems which can make their own decisions. While AI has great potential, it also holds great peril depending on how it is designed and used. AI for Diversity questions how AI technology can lead to inclusion or exclusion for diverse groups of society. The way data is selected, trained, used, and embedded into societies can have unfortunate consequences unless we critically investigate the dangers of systems left unchecked, and can lead to misogynist, homophobic, racist, ageist, transphobic or ableist outcomes. This book enables the reader to step back and see how AI is impacting diversity in humans impacted by AI and how diversity-awareness strategies can impact AI.

WINNER: The 2019 Lillian Smith Book Award, 2018 McGannon Center Book Prize, and shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social Justice Astra Taylor, author of The People's Platform: "The single most important book about technology you will read this year." Dorothy Roberts, author of Killing the Black Body: "A must-read." 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.

An exploration of how design might be led by marginalized communities, dismantle structural inequality, and advance collective liberation and ecological survival.
What is the relationship between design, power, and social justice? “Design justice” is an approach to design that is led by marginalized communities and that aims expilcitly to challenge, rather than reproduce, structural inequalities. It has emerged from a growing community of designers in various fields who work closely with social movements and community-based organizations around the world.

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.

What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, award-winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind 'automated' services, to the data AI collects from us. Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.

Democratic Frontiers: Algorithms and Society focuses on digital platforms' effects in societies with respect to key areas such as subjectivity and self-reflection, data and measurement for the common good, public health and accessible datasets, activism in social media and the import/export of AI technologies relative to regime type. Digital technologies develop at a much faster pace relative to our systems of governance which are supposed to embody democratic principles that are comparatively timeless, whether rooted in ancient Greek or Enlightenment ideas of freedom, autonomy and citizenship. Algorithms, computing millions of calculations per second, do not pause to reflect on their operations. Developments in the accumulation of vast private datasets that are used to train automated machine learning algorithms pose new challenges for upholding these values. Social media platforms, while the key driver of today's information disorder, also afford new opportunities for organized social activism. The US and China, presumably at opposite ends of an ideological spectrum, are the main exporters of AI technology to both free and totalitarian societies. These are some of the important topics covered by this volume that examines the democratic stakes for societies with the rapid expansion of these technologies. Scholars and students from many backgrounds as well as policy makers, journalists and the general reading public will find a multidisciplinary approach to issues of democratic values and governance encompassing research from Sociology, Digital Humanities, New Media, Psychology, Communication, International Relations and Economics. Chapter 3 of this book is available for free in PDF format as Open Access from the individual product page at www.routledge.com. It has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license

This volume examines how the adoption of AI technologies is likely to impact strategic and operational planing, and the possible future tactical scenarios for conventional, unconventional, cyber, space, and nuclear force structures. In addition to developments in the USA, Britain, Russia, And China, the volume also explores how different Asian and European countries are actively integrating AI into their military readiness. It studies the effect of AI and related technologies in training regimens and command structures. The book also covers the ethical and legal aspects o f AI augmented warfare.

The challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called "surveillance capitalism," and the quest by powerful corporations to predict and control our behavior. In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in the twenty-first century just as industrial capitalism disfigured the natural world in the twentieth. Zuboff vividly brings to life the consequences as surveillance capitalism advances from Silicon Valley into every economic sector. Vast wealth and power are accumulated in ominous new "behavioral futures markets," where predictions about our behavior are bought and sold, and the production of goods and services is subordinated to a new "means of behavioral modification." The threat has shifted from a totalitarian Big Brother state to a ubiquitous digital architecture: a "Big Other" operating in the interests of surveillance capital. Here is the crucible of an unprecedented form of power marked by extreme concentrations of knowledge and free from democratic oversight. Zuboff's comprehensive and moving analysis lays bare the threats to twenty-first century society: a controlled "hive" of total connection that seduces with promises of total certainty for maximum profit -- at the expense of democracy, freedom, and our human future. With little resistance from law or society, surveillance capitalism is on the verge of dominating the social order and shaping the digital future -- if we let it.

The scope of criminal justice surveillance, from the police to the prisons, has expanded rapidly in recent decades. At the same time, the use of big data has spread across a range of fields, including finance, politics, health, and marketing. While law enforcement's use of big data is hotly contested, very little is known about how the police actually use it in daily operations and with what consequences. In Predict and Surveil, Sarah Brayne offers an unprecedented, inside look at how police use big data and new surveillance technologies, leveraging on-the-ground fieldwork with one of the most technologically advanced law enforcement agencies in the world-the Los Angeles Police Department. Drawing on original interviews and ethnographic observations from over two years of fieldwork with the LAPD, Brayne examines the causes and consequences of big data and algorithmic control. She reveals how the police use predictive analytics and new surveillance technologies to deploy resources, identify criminal suspects, and conduct investigations; how the adoption of big data analytics transforms police organizational practices; and how the police themselves respond to these new data-driven practices. While big data analytics has the potential to reduce bias, increase efficiency, and improve prediction accuracy, Brayne argues that it also reproduces and deepens existing patterns of inequality, threatens privacy, and challenges civil liberties.A groundbreaking examination of big data policing, this book challenges the way we think about the data-driven supervision law enforcement increasingly imposes upon civilians in the name of objectivity, transparency, and twenty-first century policing.

Privacy is one of the most urgent issues associated with information technology and digital media. This book claims that what people really care about when they complain and protest that privacy has been violated is not the act of sharing information itself--most people understand that this is crucial to social life --but the inappropriate, improper sharing of information. Arguing that privacy concerns should not be limited solely to concern about control over personal information, Helen Nissenbaum counters that information ought to be distributed and protected according to norms governing distinct social contexts--whether it be workplace, health care, schools, or among family and friends. She warns that basic distinctions between public and private, informing many current privacy policies, in fact obscure more than they clarify. In truth, contemporary information systems should alarm us only when they function without regard for social norms and values, and thereby weaken the fabric of social life.

An Economist BEST BOOK OF THE YEAR: 'galvanises an important conversation'. The first book to call for the end of the data economy. Carissa Veliz exposes how our personal data is giving too much to big tech and governments, why that matters, and what we can do about it. Have you ever been denied insurance, a loan, or a job? Have you had your credit card number stolen? Do you have to wait too long when you call customer service? Have you paid more for a product than one of your friends? Have you been harassed online? Have you noticed politics becoming more divisive in your country? You might have the data economy to thank for all that and more. The moment you check your phone in the morning you are giving away your data. Before you've even switched off your alarm, a whole host of organisations have been alerted to when you woke up, where you slept, and with whom. Our phones, our TVs, even our washing machines are spies in our own homes. Without your permission, or even your awareness, tech companies are harvesting your location, your likes, your habits, your relationships, your fears, your medical issues, and sharing it amongst themselves, as well as with governments and a multitude of data vultures. They're not just selling your data. They're selling the power to influence you and decide for you. Even when you've explicitly asked them not to. And it's not just you. It's all your contacts too, all your fellow citizens. Privacy is as collective as it is personal. Digital technology is stealing our personal data and with it our power to make free choices. To reclaim that power, and our democracy, we must take back control of our personal data. Surveillance is undermining equality. We are being treated differently on the basis of our data. What can we do? The stakes are high. We need to understand the power of data better. We need to start protecting our privacy. And we need regulation. We need to pressure our representatives. It is time to pull the plug on the surveillance economy. Insightful, terrifying, practical: Privacy is Power highlights the implications of our laid-back attitude to data and sets out how we can take back control. If you liked The Age of Surveillance Capitalism, you'll love Privacy is Power because it provides a philosophical perspective on the politics of privacy, and offers very practical solutions, both for policymakers and ordinary citizens. 'An essential guide to one of the most pressing modern issues.' HANNAH FRY 'Essential reading for those of us who click 'agree' ten times a day.' JONATHAN WOLFF

A revealing look at how negative biases against women of color are embedded in search engine results and algorithms

Run a Google search for “Black girls”―what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls,” the results are radically different. The suggested porn sites and un-moderated discussions about “why Black women are so sa

From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. Presenting the concept of the "New Jim Code," she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life. This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture. Visit the book's free Discussion Guide: www.dropbox.com

A riveting exploration of how visual media has shifted the narrative on race and reignited the push towards justice by the author of the "worthy and necessary" (The New York Times) Nobody Marc Lamont Hill and the bestselling author and acclaimed journalist Todd Brewster. With his signature "clear and courageous" (Cornel West) voice Marc Lamont Hill and New York Times bestselling author Todd Brewster weave four recent pivotal moments in America's racial divide into their disturbing historical context--starting with the killing of George Floyd. Seen and Unseen reveals the connections between our current news headlines and social media feeds and the country's long struggle against racism. Drawing on the powerful role of technology as a driver of history, identity, and racial consciousness, Seen and Unseen asks why, after so much video confirmation of police violence on people of color, it took the footage of George Floyd to trigger an overwhelming response of sympathy and outrage. In the vein of The New Jim Crow and Caste, Seen and Unseen incisively explores what connects our moment to the history of race in America but also what makes today different from the civil rights movements of the past and what it will ultimately take to push social justice forward.

From the author of Race After Technology, an inspiring vision of how we can build a more just world--one small change at a time "A true gift to our movements for justice."--Michelle Alexander, author of The New Jim Crow Long before the pandemic, Ruha Benjamin was doing groundbreaking research on race, technology, and justice, focusing on big, structural changes. But the twin plagues of COVID-19 and anti-Black police violence inspired her to rethink the importance of small, individual actions. Part memoir, part manifesto, Viral Justice is a sweeping and deeply personal exploration of how we can transform society through the choices we make every day. Vividly recounting her personal experiences and those of her family, Benjamin shows how seemingly minor decisions and habits could spread virally and have exponentially positive effects. She recounts her father's premature death, illuminating the devastating impact of the chronic stress of racism, but she also introduces us to community organizers who are fostering mutual aid and collective healing. Through her brother's experience with the criminal justice system, we see the trauma caused by policing practices and mass imprisonment, but we also witness family members finding strength as they come together to demand justice for their loved ones. And while her own challenges as a young mother reveal the vast inequities of our healthcare system, Benjamin also describes how the support of doulas and midwives can keep Black mothers and babies alive and well. Born of a stubborn hopefulness, Viral Justice offers a passionate, inspiring, and practical vision of how small changes can add up to large ones, transforming our relationships and communities and helping us build a more just and joyful world.

A humanist manifesto for the age of AI Artificial intelligence may be the most transformative technology of our time. As AI's power grows, so does the need to figure out what--and who--this technology is really for. AI Needs You argues that it is critical for society to take the lead in answering this urgent question and ensuring that AI fulfills its promise. Verity Harding draws inspiring lessons from the histories of three twentieth-century tech revolutions--the space race, in vitro fertilization, and the internet--to empower each of us to join the conversation about AI and its possible futures. Sharing her perspective as a leading insider in technology and politics, she rejects the dominant narrative, which often likens AI's advent to that of the atomic bomb. History points the way to an achievable future in which democratically determined values guide AI to be peaceful in its intent; to embrace limitations; to serve purpose, not profit; and to be firmly rooted in societal trust. AI Needs You gives us hope that we, the people, can imbue AI with a deep intentionality that reflects our best values, ideals, and interests, and that serves the public good. AI will permeate our lives in unforeseeable ways, but it is clear that the shape of AI's future--and of our own--cannot be left only to those building it. It is up to us to guide this technology away from our worst fears and toward a future that we can trust and believe in.

An A.I. that learned to play chess discovered moves that no human champion would have conceived of. Driverless cars edge forward at red lights, just like impatient humans, and so far, nobody can explain why it happens. Artificial intelligence is being put to use in sports, medicine, education, and even (frighteningly) how we wage war. In this book, three of our most accomplished and deep thinkers come together to explore how A.I. could affect our relationship with knowledge, impact our world views, and change society and politics as profoundly as the ideas of the Enlightenment.

AI's impact on human societies is and will be drastic in so many ways. AI is being adopted and implemented around the world, and government and universities are investing in AI studies, research, and development. However, very little research exists about the impact of AI on our lives. This book will address this gap; it will gather reflections from around the world to assess the impact of AI on different aspects of society as well as propose ways in which we can address this impact and the research agendas needed.

AI in and for Africa: A Humanistic Perspective explores the convoluted intersection of artificial intelligence with Africa's unique socio-economic realities. The first of its kind to provide a comprehensive overview of how AI is currently being deployed on the African continent. Given the existence of significant disparities in Africa related to gender, race, labour, and power, the book argues that the continent requires different AI solutions to its problems, ones that are not founded on technological determinism or exclusively on the adoption of Eurocentric or Western-centric worldviews. It embraces a decolonial approach to exploring and addressing issues such as AI's diversity crisis, the absence of ethical policies around AI that are tailor-made for Africa, the ever-widening digital divide, and the ongoing practice of dismissing African knowledge systems in the contexts of AI research and education. Although the book suggests a number of humanistic strategies with a view to ensuring that Africa does not appropriate AI in a manner that is skewed in favour of a privileged few, it does not support the notion that the continent should simply opt for a 'one-size-fits-all' solution either. Rather, in light of Africa's rich diversity, the book embraces the need for plurality within different regions' AI ecosystems. The book advocates that Africa-inclusive AI policies incorporate a relational ethics of care which explicitly challenges how Africa's challenges are entwined in AI ecosystems. It goes some way to providing actionable AI tenets that can be incorporated into policy documents to suit Africa's needs. This book will be of great interest to researchers, students, and readers who wish to critically appraise the different facets of AI in the context of Africa, across many areas that run the gamut from education, gender studies, and linguistics to agriculture, data science, and economics, with especial appeal to scholars in disciplines including anthropology, computer science, philosophy, and sociology, to name a few.

NEW YORK TIMES BESTSELLER * An urgent warning of the unprecedented risks that AI and other fast-developing technologies pose to global order, and how we might contain them while we have the chance--from a co-founder of the pioneering artificial intelligence company DeepMind "A fascinating, well-written, and important book."--Yuval Noah Harari "Essential reading."--Daniel Kahneman "An excellent guide for navigating unprecedented times."--Bill Gates A Best Book of the Year: CNN, Economist, Bloomberg, Politico Playbook, Financial Times, The Guardian, CEO Magazine, Semafor * Winner of the Inc. Non-Obvious Book Award * Finalist for the Porchlight Business Book Award and the Financial Times and Schroders Business Book of the Year Award We are approaching a critical threshold in the history of our species. Everything is about to change.    Soon you will live surrounded by AIs. They will organise your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.    None of us are prepared.   As co-founder of the pioneering AI company DeepMind, part of Google, Mustafa Suleyman has been at the centre of this revolution. The coming decade, he argues, will be defined by this wave of powerful, fast-proliferating new technologies.    In The Coming Wave, Suleyman shows how these forces will create immense prosperity but also threaten the nation-state, the foundation of global order. As our fragile governments sleepwalk into disaster, we face an existential dilemma: unprecedented harms on one side, the threat of overbearing surveillance on the other.    Can we forge a narrow path between catastrophe and dystopia?   This groundbreaking book from the ultimate AI insider establishes "the containment problem"--the task of maintaining control over powerful technologies--as the essential challenge of our age.

The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.