Facial Recognition Technology Companies

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  facial recognition technology companies: Face Recognition Technologies Douglas Yeung, Rebecca Balebako, Carlos Ignacio Gutierrez Gaviria, Michael Chaykowsky, 2020-05-15 Face recognition technologies (FRTs) have many practical security-related purposes, but advocacy groups and individuals have expressed apprehensions about their use. This report highlights the high-level privacy and bias implications of FRT systems. The authors propose a heuristic with two dimensions -- consent status and comparison type -- to help determine a proposed FRT's level of privacy and accuracy. They also identify privacy and bias concerns.
  facial recognition technology companies: Tech Titans of China Rebecca Fannin, 2019-09-03 Sliver award winner in International Business/Globalization 2020 Axiom Business Book Awards The rise of China's tech companies and intense competition from the sector is just beginning. This will present an ongoing management and strategy challenge for companies for many years to come. Tech Titans of China is the go-to-guide for companies (and those interested in competition from China) seeking to understand China's grand tech ambitions, who the players are and what their strategy is. Fannin, an expert on China, is an internationally-recognized journalist, author and speaker. She hosts 12 live events annually for business leaders, venture capitalists, start-up founders, and others impacted by or interested in cashing in on the Chinese tech industry. In this illuminating book, she provides readers with the ammunition they need to prepare and compete. Featuring detailed profiles of the Chinese tech companies making waves, the tech sectors that matter most in China's grab for super power status, and predictions for China's tech dominance in just 10 years.
  facial recognition technology companies: Artificial Intelligence in Practice Bernard Marr, 2019-04-15 Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.
  facial recognition technology companies: Biometric Identification, Law and Ethics Marcus Smith, Seumas Miller, 2021-12-11 This book is open access. This book undertakes a multifaceted and integrated examination of biometric identification, including the current state of the technology, how it is being used, the key ethical issues, and the implications for law and regulation. The five chapters examine the main forms of contemporary biometrics–fingerprint recognition, facial recognition and DNA identification– as well the integration of biometric data with other forms of personal data, analyses key ethical concepts in play, including privacy, individual autonomy, collective responsibility, and joint ownership rights, and proposes a raft of principles to guide the regulation of biometrics in liberal democracies. Biometric identification technology is developing rapidly and being implemented more widely, along with other forms of information technology. As products, services and communication moves online, digital identity and security is becoming more important. Biometric identification facilitates this transition. Citizens now use biometrics to access a smartphone or obtain a passport; law enforcement agencies use biometrics in association with CCTV to identify a terrorist in a crowd, or identify a suspect via their fingerprints or DNA; and companies use biometrics to identify their customers and employees. In some cases the use of biometrics is governed by law, in others the technology has developed and been implemented so quickly that, perhaps because it has been viewed as a valuable security enhancement, laws regulating its use have often not been updated to reflect new applications. However, the technology associated with biometrics raises significant ethical problems, including in relation to individual privacy, ownership of biometric data, dual use and, more generally, as is illustrated by the increasing use of biometrics in authoritarian states such as China, the potential for unregulated biometrics to undermine fundamental principles of liberal democracy. Resolving these ethical problems is a vital step towards more effective regulation.
  facial recognition technology companies: Our Biometric Future Kelly A. Gates, 2011-01-23 Since the 1960s, a significant effort has been underway to program computers to “see” the human face—to develop automated systems for identifying faces and distinguishing them from one another—commonly known as Facial Recognition Technology. While computer scientists are developing FRT in order to design more intelligent and interactive machines, businesses and states agencies view the technology as uniquely suited for “smart” surveillance—systems that automate the labor of monitoring in order to increase their efficacy and spread their reach. Tracking this technological pursuit, Our Biometric Future identifies FRT as a prime example of the failed technocratic approach to governance, where new technologies are pursued as shortsighted solutions to complex social problems. Culling news stories, press releases, policy statements, PR kits and other materials, Kelly Gates provides evidence that, instead of providing more security for more people, the pursuit of FRT is being driven by the priorities of corporations, law enforcement and state security agencies, all convinced of the technology’s necessity and unhindered by its complicated and potentially destructive social consequences. By focusing on the politics of developing and deploying these technologies, Our Biometric Future argues not for the inevitability of a particular technological future, but for its profound contingency and contestability.
  facial recognition technology companies: Facial Recognition Technology Meena N. Harnois, 2013 Having overcome the high costs and poor accuracy that once stunted its growth, one form of biometric technology -- facial recognition -- is quickly moving out of the realm of science fiction and into the commercial marketplace. Today, companies are deploying facial recognition technologies in a wide array of contexts, reflecting a spectrum of increasing technological sophistication. This book discusses recent and possible future advances in the use of facial recognition technologies; ways consumers can benefit from these uses; and the privacy and security concerns raised while promoting innovation.
  facial recognition technology companies: Face Recognition Technologies Douglas Yeung, Rebecca Balebako, Carlos Ignacio Gutierrez Gaviria, Michael Chaykowsky, 2020-05-15 In this report, the authors propose a heuristic with two dimensions--consent status and comparison type--to determine levels of privacy and accuracy in face recognition technologies. They also identify privacy and bias concerns.
  facial recognition technology companies: Facial Recognition Mark Andrejevic, Neil Selwyn, 2022-08-02 Facial recognition is set to fundamentally change our experience and understanding of monitoring, surveillance, and privacy. Backed by powerful industry interests, this technology is being integrated into many areas of society – from airports to shopping malls, classrooms to casinos. Despite the promise of security and efficiency, fears are growing that this technology is inherently biased, intrusive, and oppressive, with broad-ranging societal consequences. In this timely book, Neil Selwyn and Mark Andrejevic provide a critical introduction to facial recognition. Outlining its complex social history and future technical forms, as well as its conceptual and technical underpinnings, the book considers the arguments being advanced for the continued uptake of facial recognition. In assessing these developments, the book argues that we are at the cusp of a generational shift in surveillance technology that will reconfigure our expectations of anonymity in shared and public spaces. Throughout, the book addresses a deceptively simple question: do we really want to live in a world where our face is our ID? Facial Recognition is essential reading for students and scholars of media and communications studies, surveillance studies, criminology, and sociology, as well as for anyone interested in one of the defining technologies of our times.
  facial recognition technology companies: Handbook of Face Recognition Stan Z. Li, Anil K. Jain, 2005-03-15 This authoritative handbook is the first to provide complete coverage of face recognition, including major established approaches, algorithms, systems, databases, evaluation methods, and applications. After a thorough introductory chapter from the editors, 15 chapters address the sub-areas and major components necessary for designing operational face recognition systems. Each chapter focuses on a specific topic, reviewing background information, reviewing up-to-date techniques, presenting results, and offering challenges and future directions. This accessible, practical reference is an essential resource for scientists and engineers, practitioners, government officials, and students planning to work in image processing, computer vision, biometrics and security, Internet communications, computer graphics, animation, and the computer game industry.--BOOK JACKET.
  facial recognition technology companies: We Have Been Harmonized Kai Strittmatter, 2020-09-01 Named a Notable Work of Nonfiction of 2020 by the Washington Post As heard on NPR's Fresh Air, We Have Been Harmonized, by award-winning correspondent Kai Strittmatter, offers a groundbreaking look, based on decades of research, at how China created the most terrifying surveillance state in history. China’s new drive for repression is being underpinned by unprecedented advances in technology: facial and voice recognition, GPS tracking, supercomputer databases, intercepted cell phone conversations, the monitoring of app use, and millions of high-resolution security cameras make it nearly impossible for a Chinese citizen to hide anything from authorities. Commercial transactions, including food deliveries and online purchases, are fed into vast databases, along with everything from biometric information to social media activities to methods of birth control. Cameras (so advanced that they can locate a single person within a stadium crowd of 60,000) scan for faces and walking patterns to track each individual’s movement. In some schools, children’s facial expressions are monitored to make sure they are paying attention at the right times. In a new Social Credit System, each citizen is given a score for good behavior; for those who rate poorly, punishments include being banned from flying or taking high-speed trains, exclusion from certain jobs, and preventing their children from attending better schools. And it gets worse: advanced surveillance has led to the imprisonment of more than a million Chinese citizens in western China alone, many held in draconian “reeducation” camps. This digital totalitarianism has been made possible not only with the help of Chinese private tech companies, but the complicity of Western governments and corporations eager to gain access to China’s huge market. And while governments debate trade wars and tariffs, the Chinese Communist Party and its local partners are aggressively stepping up their efforts to export their surveillance technology abroad—including to the United States. We Have Been Harmonized is a terrifying portrait of life under unprecedented government surveillance—and a dire warning about what could happen anywhere under the pretense of national security. “Terrifying. … A warning call. —The Sunday Times (UK), a “Best Book of the Year so Far”
  facial recognition technology companies: Biometric Recognition National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Whither Biometrics Committee, 2010-12-12 Biometric recognition-the automated recognition of individuals based on their behavioral and biological characteristic-is promoted as a way to help identify terrorists, provide better control of access to physical facilities and financial accounts, and increase the efficiency of access to services and their utilization. Biometric recognition has been applied to identification of criminals, patient tracking in medical informatics, and the personalization of social services, among other things. In spite of substantial effort, however, there remain unresolved questions about the effectiveness and management of systems for biometric recognition, as well as the appropriateness and societal impact of their use. Moreover, the general public has been exposed to biometrics largely as high-technology gadgets in spy thrillers or as fear-instilling instruments of state or corporate surveillance in speculative fiction. Now, as biometric technologies appear poised for broader use, increased concerns about national security and the tracking of individuals as they cross borders have caused passports, visas, and border-crossing records to be linked to biometric data. A focus on fighting insurgencies and terrorism has led to the military deployment of biometric tools to enable recognition of individuals as friend or foe. Commercially, finger-imaging sensors, whose cost and physical size have been reduced, now appear on many laptop personal computers, handheld devices, mobile phones, and other consumer devices. Biometric Recognition: Challenges and Opportunities addresses the issues surrounding broader implementation of this technology, making two main points: first, biometric recognition systems are incredibly complex, and need to be addressed as such. Second, biometric recognition is an inherently probabilistic endeavor. Consequently, even when the technology and the system in which it is embedded are behaving as designed, there is inevitable uncertainty and risk of error. This book elaborates on these themes in detail to provide policy makers, developers, and researchers a comprehensive assessment of biometric recognition that examines current capabilities, future possibilities, and the role of government in technology and system development.
  facial recognition technology companies: Cybersecurity For Dummies Joseph Steinberg, 2019-10-15 Protect your business and family against cyber attacks Cybersecurity is the protection against the unauthorized or criminal use of electronic data and the practice of ensuring the integrity, confidentiality, and availability of information. Being cyber-secure means that a person or organization has both protected itself against attacks by cyber criminals and other online scoundrels, and ensured that it has the ability to recover if it is attacked. If keeping your business or your family safe from cybersecurity threats is on your to-do list, Cybersecurity For Dummies will introduce you to the basics of becoming cyber-secure! You’ll learn what threats exist, and how to identify, protect against, detect, and respond to these threats, as well as how to recover if you have been breached! The who and why of cybersecurity threats Basic cybersecurity concepts What to do to be cyber-secure Cybersecurity careers What to think about to stay cybersecure in the future Now is the time to identify vulnerabilities that may make you a victim of cyber-crime — and to defend yourself before it is too late.
  facial recognition technology companies: Weapons of Math Destruction Cathy O'Neil, 2016 A former Wall Street quantitative analyst sounds an alarm on mathematical modeling, a pervasive new force in society that threatens to undermine democracy and widen inequality,--NoveList.
  facial recognition technology companies: Identified, Tracked, and Profiled Peter Dauvergne, 2022-12-08 This is an open access title available under the terms of a CC BY-NC-ND 4.0 License. It is free to read, download and share on Elgaronline.com. Revealing the politics underlying the rapid globalization of facial recognition technology (FRT), this topical book provides a cutting-edge, critical analysis of the expanding global market for FRT, and the rise of the transnational social movement that opposes it.
  facial recognition technology companies: Surveillance State Josh Chin, Liza Lin, 2022-09-06 Where is the line between digital utopia and digital police state? Surveillance State tells the gripping, startling, and detailed story of how China’s Communist Party is building a new kind of political control: shaping the will of the people through the sophisticated—and often brutal—harnessing of data. It is a story born in Silicon Valley and America’s “War on Terror,” and now playing out in alarming ways on China’s remote Central Asian frontier. As ethnic minorities in a border region strain against Party control, China’s leaders have built a dystopian police state that keeps millions under the constant gaze of security forces armed with AI. But across the country in the city of Hangzhou, the government is weaving a digital utopia, where technology helps optimize everything from traffic patterns to food safety to emergency response. Award-winning journalists Josh Chin and Liza Lin take readers on a journey through the new world China is building within its borders, and beyond. Telling harrowing stories of the people and families affected by the Party’s ambitions, Surveillance State reveals a future that is already underway—a new society engineered around the power of digital surveillance.
  facial recognition technology companies: AI for Everyone? Pieter Verdegem, 2021-09-20 We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is debate that asks and answers fundamental questions about power. This book brings together critical interrogations of what constitutes AI, its impact and its inequalities in order to offer an analysis of what it means for AI to deliver benefits for everyone. The book is structured in three parts: Part 1, AI: Humans vs. Machines, presents critical perspectives on human-machine dualism. Part 2, Discourses and Myths About AI, excavates metaphors and policies to ask normative questions about what is ‘desirable’ AI and what conditions make this possible. Part 3, AI Power and Inequalities, discusses how the implementation of AI creates important challenges that urgently need to be addressed. Bringing together scholars from diverse disciplinary backgrounds and regional contexts, this book offers a vital intervention on one of the most hyped concepts of our times.
  facial recognition technology companies: Issues with Facial Recognition Technology Warren Lambert, 2020-12-08 Automated facial recognition systems compare two or more images of faces to determine whether they represent the same individual. Facial recognition technology (FRT) falls within the larger categories of biometric technology used to varying degrees by the government and private entities to identify persons. This book deals with some of the issues concerning facial recognition technology.
  facial recognition technology companies: Template Matching Techniques in Computer Vision Roberto Brunelli, 2009-04-29 The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling human perception mechanisms, and for the development of practical biometric systems. This book and the accompanying website, focus on template matching, a subset of object recognition techniques of wide applicability, which has proved to be particularly effective for face recognition applications. Using examples from face processing tasks throughout the book to illustrate more general object recognition approaches, Roberto Brunelli: examines the basics of digital image formation, highlighting points critical to the task of template matching; presents basic and advanced template matching techniques, targeting grey-level images, shapes and point sets; discusses recent pattern classification paradigms from a template matching perspective; illustrates the development of a real face recognition system; explores the use of advanced computer graphics techniques in the development of computer vision algorithms. Template Matching Techniques in Computer Vision is primarily aimed at practitioners working on the development of systems for effective object recognition such as biometrics, robot navigation, multimedia retrieval and landmark detection. It is also of interest to graduate students undertaking studies in these areas.
  facial recognition technology companies: Stranger Faces Namwali Serpell, 2020-09-29 Speculative essays that probe the mythology of the face by the author of The Old Drift
  facial recognition technology companies: Techno Marcus Smith, 2024-07-24 In the midst of a technology revolution and the rise of artificial intelligence (AI), we all need to understand the relationship between humans and technology. Social media, data surveillance, biometrics, genomics and cryptocurrencies dominate news and public debate, but there is often little consideration given to issues like how our data could be used in the future, the risks of genomic research, or responsibility for decisions made by AI.Techno argues that we are all responsible for contributing to how technology is used, to ensure that society will benefit from it. With clarity and purpose, Marcus Smith explores how technology is affecting government, individuals and society; and the need to act, before it' s too late. This must-read book offers critical insights on the emerging technologies we use every day and the implications for us.
  facial recognition technology companies: Artificial Intelligence Melanie Mitchell, 2019-10-15 Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world 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.
  facial recognition technology companies: Artificial Intelligence and Data Mining Approaches in Security Frameworks Neeraj Bhargava, Ritu Bhargava, Pramod Singh Rathore, Rashmi Agrawal, 2021-08-24 ARTIFICIAL INTELLIGENCE AND DATA MINING IN SECURITY FRAMEWORKS Written and edited by a team of experts in the field, this outstanding new volume offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to artificial intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalized security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and data mining and several other computing technologies to deploy such a system in an effective manner. This book provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day Contains numerous examples, offering critical solutions to engineers and scientists Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole
  facial recognition technology companies: The Rise of Big Data Policing Andrew Guthrie Ferguson, 2019-11-15 Winner, 2018 Law & Legal Studies PROSE Award The consequences of big data and algorithm-driven policing and its impact on law enforcement In a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and police officers to a wealth of law enforcement intelligence. This is just a glimpse into a future where software predicts future crimes, algorithms generate virtual “most-wanted” lists, and databanks collect personal and biometric information. The Rise of Big Data Policing introduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. Andrew Guthrie Ferguson reveals how these new technologies —viewed as race-neutral and objective—have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. After a series of high-profile police shootings and federal investigations into systemic police misconduct, and in an era of law enforcement budget cutbacks, data-driven policing has been billed as a way to “turn the page” on racial bias. But behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections. In this first book on big data policing, Ferguson offers an examination of how new technologies will alter the who, where, when and how we police. These new technologies also offer data-driven methods to improve police accountability and to remedy the underlying socio-economic risk factors that encourage crime. The Rise of Big Data Policing is a must read for anyone concerned with how technology will revolutionize law enforcement and its potential threat to the security, privacy, and constitutional rights of citizens. Read an excerpt and interview with Andrew Guthrie Ferguson in The Economist.
  facial recognition technology companies: Child Data Citizen Veronica Barassi, 2020-12-22 An examination of the datafication of family life--in particular, the construction of our children into data subjects. Our families are being turned into data, as the digital traces we leave are shared, sold, and commodified. Children are datafied even before birth, with pregnancy apps and social media postings, and then tracked through babyhood with learning apps, smart home devices, and medical records. If we want to understand the emergence of the datafied citizen, Veronica Barassi argues, we should look at the first generation of datafied natives: our children. In Child Data Citizen, she examines the construction of children into data subjects, describing how their personal information is collected, archived, sold, and aggregated into unique profiles that can follow them across a lifetime.
  facial recognition technology companies: Samsung Rising Geoffrey Cain, 2020-03-17 An explosive exposé of Samsung that “reads like a dynastic thriller, rolling through three generations of family intrigue, embezzlement, bribery, corruption, prostitution, and other bad behavior” (The Wall Street Journal). LONGLISTED FOR THE FINANCIAL TIMES AND MCKINSEY BUSINESS BOOK OF THE YEAR AWARD Based on years of reporting on Samsung for The Economist, The Wall Street Journal, and Time, from his base in South Korea, and his countless sources inside and outside the company, Geoffrey Cain offers a penetrating look behind the curtains of the biggest company nobody in America knows. Seen for decades in tech circles as a fast follower rather than an innovation leader, Samsung today has grown to become a market leader in the United States and around the globe. They have captured one quarter of the smartphone market and have been pushing the envelope on every front. Forty years ago, Samsung was a rickety Korean agricultural conglomerate that produced sugar, paper, and fertilizer, located in a backward country with a third-world economy. With the rise of the PC revolution, though, Chairman Lee Byung-chul began a bold experiment: to make Samsung a major supplier of computer chips. The multimillion- dollar plan was incredibly risky. But Lee, wowed by a young Steve Jobs, who sat down with the chairman to offer his advice, became obsessed with creating a tech empire. And in Samsung Rising, we follow Samsung behind the scenes as the company fights its way to the top of tech. It is one of Apple’s chief suppliers of technology critical to the iPhone, and its own Galaxy phone outsells the iPhone. Today, Samsung employs over 300,000 people (compared to Apple’s 80,000 and Google’s 48,000). The company’s revenues have grown more than forty times from that of 1987 and make up more than 20 percent of South Korea’s exports. Yet their disastrous recall of the Galaxy Note 7, with numerous reports of phones spontaneously bursting into flames, reveals the dangers of the company’s headlong attempt to overtake Apple at any cost. A sweeping insider account, Samsung Rising shows how a determined and fearless Asian competitor has become a force to be reckoned with.
  facial recognition technology companies: To Save Everything, Click Here Evgeny Morozov, 2013-03-05 The award-winning author of The Net Delusion shows how the radical transparency we've become accustomed to online may threaten the spirit of real-life democracy
  facial recognition technology companies: The Atlas of AI Kate Crawford, 2021-04-06 The hidden costs of artificial intelligence, from natural resources and labor to privacy and freedom 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.
  facial recognition technology companies: Police: A Field Guide David Correia, Tyler Wall, 2018-03-13 A radical guide to the language of policing This field guide arms activists—and indeed anyone concerned about police abuse—with critical insights that ultimately redefine the very idea of policing. When we talk about police and police reform, we speak the language of police legitimation through euphemism. So state sexual assault becomes “body-cavity search,” and ruthless beatings “non-compliance deterrence.” In entries such as “police dog,” “stop and frisk,” and “rough ride,” the authors expose the way “copspeak” suppresses the true meaning and history of law enforcement. In field guide fashion, they reveal a world hidden in plain view. The book argues that a redefined language of policing might help us chart a future that’s free. Including explanations of newsmaking terms such as “deadname,” “kettling,” and “qualified immunity,” and a foreword by leading justice advocate Craig Gilmore.
  facial recognition technology companies: Our Data, Ourselves Jacqueline D. Lipton, 2022-09-27 Introduction : what is data privacy and why is it important? -- Who owns our data? -- Our data at home -- Our data at work -- Our data on social media -- Our children's data -- Our data at school -- Our data in the digital marketplace -- Our data across the pond -- Our data and our health -- Our data and our money -- Our data and the government -- Our data into the future.
  facial recognition technology companies: Slaying Digital Dragons TM Alex J. Packer, 2021-10-15 Empower teens to take charge of their digital lives. Without avoiding the dark side of technology, this interactive and comprehensive reference book empowers teens to take charge of their digital life and improve their mental health and well-being. Quizzes and exercises guide readers through the process of evaluating their relationships with their screens, social media, and tech in general. With a frank and humorous approach to a timely topic, award-winning author Alex J. Packer, Ph.D., pulls back the curtain on the hidden aspects of the digital world and shares: Signs that screen time is affecting teens’ bodies, brains, and relationships Tips for protecting their privacy, safety, and reputation Ways social media and algorithms can distort their reality and sense of self Tools for finding life balance and resetting their screen scene Slaying Digital Dragons is a call to action to make the choices that are right for teens. It doesn’t demand ditching smartphones or deactivating social media. Instead, it suggests strategies for playing favorite games and posting on favorite apps, while also doing good in the world and bringing joy and encouragement to others. It invites readers to join the resistance and learn how to thwart the manipulative forces trying to control and profit off their users. And it gives teens what they need to stay safe and take charge of their digital life. For more must-have advice from Alex J. Packer, Ph.D., check out How Rude: The Teen Guide to Good Manners, Proper Behavior, and Not Grossing People Out (Revised & Updated Edition).
  facial recognition technology companies: Cybersecurity Law Jeff Kosseff, 2022-11-10 CYBERSECURITY LAW Learn to protect your clients with this definitive guide to cybersecurity law in this fully-updated third edition Cybersecurity is an essential facet of modern society, and as a result, the application of security measures that ensure the confidentiality, integrity, and availability of data is crucial. Cybersecurity can be used to protect assets of all kinds, including data, desktops, servers, buildings, and most importantly, humans. Understanding the ins and outs of the legal rules governing this important field is vital for any lawyer or other professionals looking to protect these interests. The thoroughly revised and updated Cybersecurity Law offers an authoritative guide to the key statutes, regulations, and court rulings that pertain to cybersecurity, reflecting the latest legal developments on the subject. This comprehensive text deals with all aspects of cybersecurity law, from data security and enforcement actions to anti-hacking laws, from surveillance and privacy laws to national and international cybersecurity law. New material in this latest edition includes many expanded sections, such as the addition of more recent FTC data security consent decrees, including Zoom, SkyMed, and InfoTrax. Readers of the third edition of Cybersecurity Law will also find: An all-new chapter focused on laws related to ransomware and the latest attacks that compromise the availability of data and systems New and updated sections on new data security laws in New York and Alabama, President Biden’s cybersecurity executive order, the Supreme Court’s first opinion interpreting the Computer Fraud and Abuse Act, American Bar Association guidance on law firm cybersecurity, Internet of Things cybersecurity laws and guidance, the Cybersecurity Maturity Model Certification, the NIST Privacy Framework, and more New cases that feature the latest findings in the constantly evolving cybersecurity law space An article by the author of this textbook, assessing the major gaps in U.S. cybersecurity law A companion website for instructors that features expanded case studies, discussion questions by chapter, and exam questions by chapter Cybersecurity Law is an ideal textbook for undergraduate and graduate level courses in cybersecurity, cyber operations, management-oriented information technology (IT), and computer science. It is also a useful reference for IT professionals, government personnel, business managers, auditors, cybersecurity insurance agents, and academics in these fields, as well as academic and corporate libraries that support these professions.
  facial recognition technology companies: Handbook of Face Recognition Stan Z. Li, Anil K. Jain, 2011-08-22 This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems; provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications; contains numerous step-by-step algorithms; describes a broad range of applications; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.
  facial recognition technology companies: Biometric Technologies and Verification Systems John R. Vacca, 2007-03-16 Biometric Technologies and Verification Systems is organized into nine parts composed of 30 chapters, including an extensive glossary of biometric terms and acronyms. It discusses the current state-of-the-art in biometric verification/authentication, identification and system design principles. It also provides a step-by-step discussion of how biometrics works; how biometric data in human beings can be collected and analyzed in a number of ways; how biometrics are currently being used as a method of personal identification in which people are recognized by their own unique corporal or behavioral characteristics; and how to create detailed menus for designing a biometric verification system. Only biometrics verification/authentication is based on the identification of an intrinsic part of a human being. Tokens, such as smart cards, magnetic stripe cards, and physical keys can be lost, stolen, or duplicated. Passwords can be forgotten, shared, or unintentionally observed by a third party. Forgotten passwords and lost smart cards are a nuisance for users and an expensive time-waster for system administrators. Biometric security solutions offer some unique advantages for identifying and verifying/ authenticating human beings over more traditional security methods. This book will serve to identify the various security applications biometrics can play a highly secure and specific role in.* Contains elements such as Sidebars, Tips, Notes and URL links* Heavily illustrated with over 150 illustrations, screen captures, and photographs* Details the various biometric technologies and how they work while providing a discussion of the economics, privacy issues and challenges of implementing biometric security solutions
  facial recognition technology companies: The Digital Silk Road David Gordon, Meia Nouwens, 2022-11-29 Concerns about China’s ambitions to return to global centre stage as a great power have recently begun to focus on the Digital Silk Road (DSR), an umbrella term for various activities – commercial and diplomatic – of interest to the Chinese government in the cyber realm. Part of (or a spin-off from) the 2013 Belt and Road Initiative, by 2020 the DSR had become a focal point of China’s foreign policy. But the DSR remains ill-defined and poorly understood. At the heart of such concerns is not that Chinese technology companies are becoming globally competitive, but rather that Beijing could use them to ‘rewire’ the global digital architecture, from physical cables to code. Dominance by Chinese technology could shift global norms from a free cyber commons to competing systems of cyber sovereignty or cyber freedom. This Adelphi book brings together eight experts to examine the development of the DSR, explore its impact on economics, security and governance in recipient countries, and assess the broader impact on patterns of economic and technological dependence, on the emerging rules and norms of tech globalisation, and on global geopolitics and great-power relations. Beijing has grasped the opportunity to leverage the entrepreneurial strengths of its private tech sector to gain prominence in the world’s digital ecosystem. But the more interventionist Beijing becomes, the more Chinese firms will be seen as instruments of the state, and the greater the pushback against Chinese technology and the DSR may be. To achieve great-power status and global centrality, Beijing might ultimately need to change tack. How it innovates in further rolling out Chinese tech across the world, and what the DSR will then look like, will have far-reaching impacts on global economics, politics and security.
  facial recognition technology companies: AI by Design Catriona Campbell, 2022-03-14 This book introduces the reader to Artificial Intelligence and its importance to our future. Campbell uses behavioural psychology, explores technology, economics, real-life and historical examples to predict five future scenarios with AI. Illustrating through speculative fiction, she describes possible futures after AI exceeds human capabilities. We are at a tipping point in history and must plan to ensure a successful co-existence with artificial intelligence. This book explains how to design for a future with AI so that, rather than herald our downfall, it helps us achieve a new renaissance.
  facial recognition technology companies: Secrets Of Machine Learning: How It Works And What It Means For You Tom Kohn, 2024-03-14 Cutting through the mass of technical literature on machine learning and AI and the plethora of fear-mongering books on the rise of killer robots, Secrets of Machine Learning offers a clear-sighted explanation for the informed reader of what this new technology is, what it does, how it works, and why it's so important.The surge in computer processing power along with the sheer quantities of training data available, means machine learning is now possible in ways wholly unthinkable just five years ago. Computers can recognize potential lung cancer better than doctors, detect fraud better than bankers, and create fake video almost impossible to tell from the real thing. And next, they are likely to drive our cars.Journalist and news product manager Tom Kohn gets to the heart of the revolutionary new technology that is developing all around us, explaining with precision how the different facets of machine learning work, how companies are using it, and why it is permeating all parts of society right now. The book guides readers through the arcane science and jargon in a clear and understandable way, but is detailed enough that it doesn't gloss over the hard technical concepts.If you want to know why Siri sometimes misunderstands you, how Netflix recommends your movies, and how machine learning will affect your job — read this book.
  facial recognition technology companies: Digital Empires Anu Bradford, 2023-08-28 Financial Times Best Books of 2023 in Economics The global battle among the three dominant digital powers—the United States, China, and the European Union—is intensifying. All three regimes are racing to regulate tech companies, with each advancing a competing vision for the digital economy while attempting to expand its sphere of influence in the digital world. In Digital Empires, her provocative follow-up to The Brussels Effect, Anu Bradford explores a rivalry that will shape the world in the decades to come. Across the globe, people dependent on digital technologies have become increasingly alarmed that their rapid adoption and transformation have ushered in an exceedingly concentrated economy where a few powerful companies control vast economic wealth and political power, undermine data privacy, and widen the gap between economic winners and losers. In response, world leaders are variously embracing the idea of reining in the most dominant tech companies. Bradford examines three competing regulatory approaches—the American market-driven model, the Chinese state-driven model, and the European rights-driven regulatory model—and discusses how governments and tech companies navigate the inevitable conflicts that arise when these regulatory approaches collide in the international domain. Which digital empire will prevail in the contest for global influence remains an open question, yet their contrasting strategies are increasingly clear. Digital societies are at an inflection point. In the midst of these unfolding regulatory battles, governments, tech companies, and digital citizens are making important choices that will shape the future ethos of the digital society. Digital Empires lays bare the choices we face as societies and individuals, explains the forces that shape those choices, and illuminates the immense stakes involved for everyone who uses digital technologies.
  facial recognition technology companies: Introduction to Information Systems R. Kelly Rainer, Brad Prince, 2021-08-17 Introduction to Information Systems, 9th Edition teaches undergraduate business majors how to use information technology to master their current or future jobs. Students develop a working understanding of information systems and information technology and learn how to apply concepts to successfully facilitate business processes. This course demonstrates that IT is the backbone of any business, whether a student is majoring in accounting, finance, marketing, human resources, production/operations management, or MIS.
  facial recognition technology companies: Technology and the Public Interest Haochen Sun, 2022-04-21 In this groundbreaking work, Haochen Sun analyzes the ethical crisis unfolding at the intersection of technology and the public interest. He examines technology companies' growing power and their increasing disregard for the public good. To tackle this asymmetry of power and responsibility, he argues that we must reexamine the nature and scope of the right to technology and dynamically protect it as a human right under international law, a collective right under domestic civil rights law, and potentially a fundamental right under domestic constitutional law. He also develops the concept of fundamental corporate responsibility requiring technology companies to compensate users for their contributions, assume an active role responsibility in upholding the public interest, and counter injustices caused by technological developments.
  facial recognition technology companies: Your Face Belongs to Us Kashmir Hill, 2024-08-06 NATIONAL BESTSELLER • The story of a small AI company that gave facial recognition to law enforcement, billionaires, and businesses, threatening to end privacy as we know it “The dystopian future portrayed in some science-fiction movies is already upon us. Kashmir Hill’s fascinating book brings home the scary implications of this new reality.”—John Carreyrou, author of Bad Blood A BEST BOOK OF THE YEAR: Financial Times, Los Angeles Times, Wired Winner of the Inc. Non-Obvious Book Award • Longlisted for the Financial Times and Schroders Business Book of the Year Award New York Times tech reporter Kashmir Hill was skeptical when she got a tip about a mysterious app called Clearview AI that claimed it could, with 99 percent accuracy, identify anyone based on just one snapshot of their face. The app could supposedly scan a face and, in just seconds, surface every detail of a person’s online life: their name, social media profiles, friends and family members, home address, and photos that they might not have even known existed. If it was everything it claimed to be, it would be the ultimate surveillance tool, and it would open the door to everything from stalking to totalitarian state control. Could it be true? In this riveting account, Hill tracks the improbable rise of Clearview AI, helmed by Hoan Ton-That, an Australian computer engineer, and Richard Schwartz, a former Rudy Giuliani advisor, and its astounding collection of billions of faces from the internet. The company was boosted by a cast of controversial characters, including conservative provocateur Charles C. Johnson and billionaire Donald Trump backer Peter Thiel—who all seemed eager to release this society-altering technology on the public. Google and Facebook decided that a tool to identify strangers was too radical to release, but Clearview forged ahead, sharing the app with private investors, pitching it to businesses, and offering it to thousands of law enforcement agencies around the world. Facial recognition technology has been quietly growing more powerful for decades. This technology has already been used in wrongful arrests in the United States. Unregulated, it could expand the reach of policing, as it has in China and Russia, to a terrifying, dystopian level. Your Face Belongs to Us is a gripping true story about the rise of a technological superpower and an urgent warning that, in the absence of vigilance and government regulation, Clearview AI is one of many new technologies that challenge what Supreme Court Justice Louis Brandeis once called “the right to be let alone.”
Facials: What Are They, and What Do They Really Do?
Aug 28, 2023 · A facial is a noninvasive skin treatment that includes cleansing, moisturizing, exfoliating and other elements customized to your skin type and needs.

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Apr 28, 2025 · To do a facial at home, start by using a gentle cleanser and exfoliating scrub to slough away dull and dead skin. Next, do a facial steam treatment for about 5 minutes to open …

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9 Types of Facials: Benefits and What to Know Before Trying
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How Often Should You Get a Facial? What You Need to Know
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9 Types of Facials: Benefits and What To Expect | Skincare.com
Not sure which facial is right for you? Discover 10 popular facials that refresh, hydrate, and brighten your skin. Plus, what to expect from each treatment.

Facials: What Are They, and What Do They Really Do?
Aug 28, 2023 · A facial is a noninvasive skin treatment that includes cleansing, moisturizing, exfoliating and other elements customized to your skin type and needs.

6 Types Of Facials & Their Benefits (Plus How To Choose)
Jan 26, 2022 · Before booking any treatment, it's important to know which type of facial is best for your skin type and concern. Here's our expert-backed guide.

How to Do a Facial at Home: 12 Steps (with Pictures) - wikiHow
Apr 28, 2025 · To do a facial at home, start by using a gentle cleanser and exfoliating scrub to slough away dull and dead skin. Next, do a facial steam treatment for about 5 minutes to open …

So, What Exactly Happens During a Facial? - Byrdie
May 10, 2025 · Aside from a fresh, post-facial glow, Garrette highlights the long-term benefits: “Facials help resolve dryness, dehydration, inflammation, acne, and hyperpigmentation when …

Facials: Cost, Results & More - RealSelf
Feb 20, 2024 · Facials can help slow signs of aging, plump dry skin, and clear acne. Learn about cost, what happens during a facial treatment, and how they can be customi...

9 Types of Facials: Benefits and What to Know Before Trying
May 9, 2024 · A facial is a treatment designed to improve the appearance of the skin. A variety of facials exist, from those that provide a more relaxing, spa-like experience to more medical …

How Often Should You Get a Facial? What You Need to Know
May 19, 2023 · How often you should get a facial depends on a variety of individual factors including your skin type, skin care needs and goals, and the type of facial you are receiving.

How to Choose the Right Spa Facial for Your Skin Type - Real Simple
Dec 18, 2023 · We asked experts about the facial treatment and facial spas available out there, including gua sha facial, hydrafacial, manual lift, dermaplaning facial, microcurrent facial, and …

26 Different Types of Facials for Every Skin Type - Beautyholic
We bring you twenty-six different types of facials to choose from for your skin. So, without much further adieu, let’s begin. 1. Classic Facial. 2. Laser Resurfacing. 3. Lymphatic Massage Facial. …

9 Types of Facials: Benefits and What To Expect | Skincare.com
Not sure which facial is right for you? Discover 10 popular facials that refresh, hydrate, and brighten your skin. Plus, what to expect from each treatment.