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| ethical issues with facial recognition technology: Face Recognition Technology Ian Berle, 2020-03-11 This book examines how face recognition technology is affecting privacy and confidentiality in an era of enhanced surveillance. Further, it offers a new approach to the complex issues of privacy and confidentiality, by drawing on Joseph K in Kafka’s disturbing novel The Trial, and on Isaiah Berlin’s notion of liberty and freedom. Taking into consideration rights and wrongs, protection from harm associated with compulsory visibility, and the need for effective data protection law, the author promotes ethical practices by reinterpreting privacy as a property right. To protect this right, the author advocates the licensing of personal identifiable images where appropriate. The book reviews American, UK and European case law concerning privacy and confidentiality, the effect each case has had on the developing jurisprudence, and the ethical issues involved. As such, it offers a valuable resource for students of ethico-legal fields, professionals specialising in image rights law, policy-makers, and liberty advocates and activists. |
| ethical issues with facial recognition technology: 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. |
| ethical issues with facial recognition technology: 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. |
| ethical issues with facial recognition technology: The Ethical Algorithm Michael Kearns, Aaron Roth, 2020 Algorithms have made our lives more efficient and entertaining--but not without a significant cost. Can we design a better future, one in which societial gains brought about by technology are balanced with the rights of citizens? The Ethical Algorithm offers a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. |
| ethical issues with facial recognition technology: Oxford Handbook of Ethics of AI Markus D. Dubber, Frank Pasquale, Sunit Das, 2020-06-30 This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term A.I. is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether human or A.I. |
| ethical issues with facial recognition technology: Films from the Future Andrew Maynard, 2018-11-15 “Deftly shows how a seemingly frivolous film genre can guide us in shaping tomorrow’s world.” —Seth Shostak, senior astronomer, SETI Institute Artificial intelligence, gene manipulation, cloning, and interplanetary travel are all ideas that seemed like fairy tales but a few years ago. And now their possibilities are very much here. But are we ready to handle these advances? This book, by a physicist and expert on responsible technology development, reveals how science fiction movies can help us think about and prepare for the social consequences of technologies we don’t yet have, but that are coming faster than we imagine. Films from the Future looks at twelve movies that take us on a journey through the worlds of biological and genetic manipulation, human enhancement, cyber technologies, and nanotechnology. Readers will gain a broader understanding of the complex relationship between science and society. The movies mix old and new, and the familiar and unfamiliar, to provide a unique, entertaining, and ultimately transformative take on the power of emerging technologies, and the responsibilities they come with. |
| ethical issues with facial recognition technology: An Examination of Emerging Bioethical Issues in Biomedical Research National Academies of Sciences, Engineering, and Medicine, Health and Medicine Division, Board on Health Sciences Policy, 2020-09-10 On February 26, 2020, the Board on Health Sciences Policy of the National Academies of Sciences, Engineering, and Medicine hosted a 1-day public workshop in Washington, DC, to examine current and emerging bioethical issues that might arise in the context of biomedical research and to consider research topics in bioethics that could benefit from further attention. The scope of bioethical issues in research is broad, but this workshop focused on issues related to the development and use of digital technologies, artificial intelligence, and machine learning in research and clinical practice; issues emerging as nontraditional approaches to health research become more widespread; the role of bioethics in addressing racial and structural inequalities in health; and enhancing the capacity and diversity of the bioethics workforce. This publication summarizes the presentations and discussions from the workshop. |
| ethical issues with facial recognition technology: Investigative Ethics Seumas Miller, Ian A. Gordon, 2014-06-03 Investigative Ethics: Ethics for Police Detectives and Criminal Investigators presents applied philosophical analyses of the ethical issues that arise for police detectives and other investigators in contemporary society. Explores ethical issues relating to investigative independence, rights of victims and suspects, use of informants, entrapment, privacy and surveillance, undercover operations, deception, and suspect interviewing Represents the first monograph providing a detailed consideration of ethical issues in police investigations Features authorship by an applied philosopher specializing in police ethics, and a former UK senior police officer Combined authorship ensures the text is anchored in actual police practice as well as providing high quality ethical analysis |
| ethical issues with facial recognition technology: Technology Is Not Neutral Stephanie Hare, 2022-02-22 It seems that just about every new technology that we bring to bear on improving our lives brings with it some downside, side effect or unintended consequence. These issues can pose very real and growing ethical problems for all of us. For example, automated facial recognition can make life easier and safer for us - but it also poses huge issues with regard to privacy, ownership of data and even identity theft. How do we understand and frame these debates, and work out strategies at personal and governmental levels? Technology Is Not Neutral: A Short Guide to Technology Ethics addresses one of today's most pressing problems: how to create and use tools and technologies to maximize benefits and minimize harms? Drawing on the author's experience as a technologist, political risk analyst and historian, the book offers a practical and cross-disciplinary approach that will inspire anyone creating, investing in or regulating technology, and it will empower all readers to better hold technology to account. |
| ethical issues with facial recognition technology: 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” |
| ethical issues with facial recognition technology: Computer Vision – ECCV 2016 Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling, 2016-09-16 The eight-volume set comprising LNCS volumes 9905-9912 constitutes the refereed proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. The 415 revised papers presented were carefully reviewed and selected from 1480 submissions. The papers cover all aspects of computer vision and pattern recognition such as 3D computer vision; computational photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based vision, photometry and shape-from-X; recognition: detection, categorization, indexing, matching; segmentation, grouping and shape representation; statistical methods and learning; video: events, activities and surveillance; applications. They are organized in topical sections on detection, recognition and retrieval; scene understanding; optimization; image and video processing; learning; action activity and tracking; 3D; and 9 poster sessions. |
| ethical issues with facial recognition technology: 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. |
| ethical issues with facial recognition technology: The Philosophy of Recognition Hans-Christoph Schmidt am Busch, Christopher F. Zurn, 2010 The theory of recognition is now a well-established and mature research paradigm in philosophy, and it is both influential in and influenced by developments in other fields of the humanities and social sciences. From debates in moral philosophy about the fundamental roots of obligation, to debates in political philosophy about the character of multicultural societies, to debates in legal theory about the structure and justification of rights, to debates in social theory about the prospects and proper objects of critical theory, to debates in ontology, philosophical anthropology and psychology about the structure of personal and group identities, theories based on the concept of intersubjective recognition have staked out central positions. At the same time, contemporary theories of recognition are strongly, perhaps indissociably, connected to themes in the history of philosophy, especially as treated in German idealism. This volume compromises a collection of original papers by eminent international scholars working at the forefront of recognition theory and provides an unparalleled view of the depth and diversity of philosophical research on the topic. Its particular strength is in exploring connections between the history of philosophy and contemporary research by combining in one volume full treatments of classical authors on recognition--Rousseau, Kant, Fichte, Hegel, Marx, Freud--with cutting edge work by leading contemporary philosophers of recognition, including Fraser, Honneth, and others. |
| ethical issues with facial recognition technology: Future Rising Andrew Maynard, 2020-10-27 A scientist offers compelling visions and potential pitfalls of the future—in “a journey through time, space, and the human experience” (Dr. Tanya Harrison, coauthor of For All Humankind). Humanity has gained the ability not only to imagine the future, but to design and engineer it. At times entertaining, and at others profound, Future Rising provides an original perspective on our relationship with the future. As a species, we’ve become talented architects of our future—yet we often struggle to come to terms with what this means. As innovation and rapidly shifting norms and expectations drive our world at breakneck speed, we sometimes need to find a still, quiet place to pause and think. Future Rising creates such a place, where we can take advantage of our species’ knowledge of world history and the importance of science to piece together a positive future. To create a good future, we must rediscover the past. Our relationship with the future is inextricably intertwined with where we’ve come from, who we are, and what we aspire to. Future Rising starts at the beginning of all things with the Big Bang and traces a pathway along the emergence of intelligent life, through what makes humans uniquely capable of imagining and creating different futures. In a series of sixty short reflections, Andrew Maynard, a former physicist and nationally recognized expert in technology and society, will take you on a journey into: What “the future” actually is How it molds and guides our lives How we can use the history of the world to change our future “A thoughtful and thought-provoking response to the moment we’re in, chronicling how we got here, where we’re going, and what role we have in that journey.” —Ramona Pringle, Director of Creative Innovation Studio and Associate Professor, Ryerson University |
| ethical issues with facial recognition technology: The Power of Ethics Susan Liautaud, 2021-01-05 The essential guide for ethical decision-making in the 21st century, The Power of Ethics depicts “ethical decision-making not in a nebulous philosophical space, but at the point where the rubber meets the road” (Michael Schur, producer and creator of The Good Place). It’s not your imagination: we’re living in a time of moral decline. Publicly, we’re bombarded with reports of government leaders acting against the welfare of their constituents; companies prioritizing profits over health, safety, and our best interests; and technology posing risks to society with few or no repercussions for those responsible. Personally, we may be conflicted about how much privacy to afford our children on the internet; how to make informed choices about our purchases and the companies we buy from; or how to handle misconduct we witness at home and at work. How do we find a way forward? Today’s ethical challenges are increasingly gray, often without a clear right or wrong solution, causing us to teeter on the edge of effective decision-making. With concentrated power structures, rapid advances in technology, and insufficient regulation to protect citizens and consumers, ethics are harder to understand than ever. But in The Power of Ethics, Susan Liautaud shows how ethics can be used to create a sea change of positive decisions that can ripple outward to our families, communities, workplaces, and the wider world—offering unprecedented opportunity for good. Drawing on two decades as an ethics advisor guiding corporations and leaders, academic institutions, nonprofit organizations, and students in her Stanford University ethics courses, Susan Liautaud provides clarity to blurry ethical questions, walking you through a straightforward, four-step process for ethical decision-making you can use every day. Liautaud also explains the six forces driving virtually every ethical choice we face. Exploring some of today’s most challenging ethics dilemmas and showing you how to develop a clear point of view, speak out with authority, make effective decisions, and contribute to a more ethical world for yourself and others, The Power of Ethics is the must-have ethics guide for the 21st century. |
| ethical issues with facial recognition technology: Artificial Intelligence in Healthcare Adam Bohr, Kaveh Memarzadeh, 2020-06-21 Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data |
| ethical issues with facial recognition technology: Ethics of Data and Analytics Kirsten Martin, 2022-05-12 The ethics of data and analytics, in many ways, is no different than any endeavor to find the right answer. When a business chooses a supplier, funds a new product, or hires an employee, managers are making decisions with moral implications. The decisions in business, like all decisions, have a moral component in that people can benefit or be harmed, rules are followed or broken, people are treated fairly or not, and rights are enabled or diminished. However, data analytics introduces wrinkles or moral hurdles in how to think about ethics. Questions of accountability, privacy, surveillance, bias, and power stretch standard tools to examine whether a decision is good, ethical, or just. Dealing with these questions requires different frameworks to understand what is wrong and what could be better. Ethics of Data and Analytics: Concepts and Cases does not search for a new, different answer or to ban all technology in favor of human decision-making. The text takes a more skeptical, ironic approach to current answers and concepts while identifying and having solidarity with others. Applying this to the endeavor to understand the ethics of data and analytics, the text emphasizes finding multiple ethical approaches as ways to engage with current problems to find better solutions rather than prioritizing one set of concepts or theories. The book works through cases to understand those marginalized by data analytics programs as well as those empowered by them. Three themes run throughout the book. First, data analytics programs are value-laden in that technologies create moral consequences, reinforce or undercut ethical principles, and enable or diminish rights and dignity. This places an additional focus on the role of developers in their incorporation of values in the design of data analytics programs. Second, design is critical. In the majority of the cases examined, the purpose is to improve the design and development of data analytics programs. Third, data analytics, artificial intelligence, and machine learning are about power. The discussion of power—who has it, who gets to keep it, and who is marginalized—weaves throughout the chapters, theories, and cases. In discussing ethical frameworks, the text focuses on critical theories that question power structures and default assumptions and seek to emancipate the marginalized. |
| ethical issues with facial recognition technology: 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. |
| ethical issues with facial recognition technology: Ethics in the AI, Technology, and Information Age Michael Boylan, Wanda Teays, 2022 Today's unprecedented power of computing and AI makes technology's impact on society an essential area of ethical inquiry. This book investigates the relationship between technology and nature, ownership of technology, AI's replacement of human functions, privacy and cybersecurity, and the ethics of self-driving cars and drone warfare-- |
| ethical issues with facial recognition technology: AI Ethics Mark Coeckelbergh, 2020-04-07 This overview of the ethical issues raised by artificial intelligence moves beyond hype and nightmare scenarios to address concrete questions—offering a compelling, necessary read for our ChatGPT era. Artificial intelligence powers Google’s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions. Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein’s monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society. |
| ethical issues with facial recognition technology: 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. |
| ethical issues with facial recognition technology: Data Ethics of Power Hasselbalch, Gry, 2021-12-09 Data Ethics of Power takes a reflective and fresh look at the ethical implications of transforming everyday life and the world through the effortless, costless, and seamless accumulation of extra layers of data. By shedding light on the constant tensions that exist between ethical principles and the interests invested in this socio-technical transformation, the book bridges the theory and practice divide in the study of the power dynamics that underpin these processes of the digitalization of the world. |
| ethical issues with facial recognition technology: Data Protection and Privacy: (In)visibilities and Infrastructures Ronald Leenes, Rosamunde van Brakel, Serge Gutwirth, Paul De Hert, 2017-02-07 This book features peer reviewed contributions from across the disciplines on themes relating to protection of data and to privacy protection. The authors explore fundamental and legal questions, investigate case studies and consider concepts and tools such as privacy by design, the risks of surveillance and fostering trust. Readers may trace both technological and legal evolution as chapters examine current developments in ICT such as cloud computing and the Internet of Things. Written during the process of the fundamental revision of revision of EU data protection law (the 1995 Data Protection Directive), this volume is highly topical. Since the European Parliament has adopted the General Data Protection Regulation (Regulation 2016/679), which will apply from 25 May 2018, there are many details to be sorted out. This volume identifies and exemplifies key, contemporary issues. From fundamental rights and offline alternatives, through transparency requirements to health data breaches, the reader is provided with a rich and detailed picture, including some daring approaches to privacy and data protection. The book will inform and inspire all stakeholders. Researchers with an interest in the philosophy of law and philosophy of technology, in computers and society, and in European and International law will all find something of value in this stimulating and engaging work. |
| ethical issues with facial recognition technology: Ethics in an Age of Surveillance Adam Henschke, 2017-07-03 People increasingly live online, sharing publicly what might have once seemed private, but at the same time are enraged by extremes of government surveillance and the corresponding invasion into our private lives. In this enlightening work, Adam Henschke re-examines privacy and property in the age of surveillance in order to understand not only the importance of these social conventions, but also their moral relevance. By analyzing identity and information, and presenting a case for a relation between the two, he explains the moral importance of virtual identities and offers an ethically robust solution to designing surveillance technologies. This book should be read by anyone interested in surveillance technology, new information technology more generally, and social concepts like privacy and property. |
| ethical issues with facial recognition technology: 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. |
| ethical issues with facial recognition technology: Emotional AI Andrew McStay, 2018-05-08 What happens when media technologies are able to interpret our feelings, emotions, moods, and intentions? In this cutting edge new book, Andrew McStay explores that very question and argues that these abilities result in a form of technological empathy. Offering a balanced and incisive overview of the issues raised by ‘Emotional AI’, this book: Provides a clear account of the social benefits and drawbacks of new media trends and technologies such as emoji, wearables and chatbots Demonstrates through empirical research how ‘empathic media’ have been developed and introduced both by start-ups and global tech corporations such as Facebook Helps readers understand the potential implications on everyday life and social relations through examples such as video-gaming, facial coding, virtual reality and cities Calls for a more critical approach to the rollout of emotional AI in public and private spheres Combining established theory with original analysis, this book will change the way students view, use and interact with new technologies. It should be required reading for students and researchers in media, communications, the social sciences and beyond. |
| ethical issues with facial recognition technology: Ethical Issues in Covert, Security and Surveillance Research Ron Iphofen, Dónal O’Mathúna, 2021-12-09 The ebook edition of this title is Open Access and freely available to read online. Ethical Issues in Covert, Security and Surveillance Research showcases that it is only when the integrity of research is carefully pursued can users of the evidence produced be assured of its value and its ethical credentials. |
| ethical issues with facial recognition technology: A History of ALA Policy on Intellectual Freedom Office for Intellectual Freedom (OIF), 2015-07-01 Collecting several key documents and policy statements, this supplement to the ninth edition of the Intellectual Freedom Manual traces a history of ALA’s commitment to fighting censorship. An introductory essay by Judith Krug and Candace Morgan, updated by OIF Director Barbara Jones, sketches out an overview of ALA policy on intellectual freedom. An important resource, this volume includes documents which discuss such foundational issues as The Library Bill of RightsProtecting the freedom to readALA’s Code of EthicsHow to respond to challenges and concerns about library resourcesMinors and internet activityMeeting rooms, bulletin boards, and exhibitsCopyrightPrivacy, including the retention of library usage records |
| ethical issues with facial recognition technology: Biometrics, Crime and Security Marcus Smith, Monique Mann, Gregor Urbas, 2018-01-31 This book addresses the use of biometrics – including fingerprint identification, DNA identification and facial recognition – in the criminal justice system: balancing the need to ensure society is protected from harms, such as crime and terrorism, while also preserving individual rights. It offers a comprehensive discussion of biometric identification that includes a consideration of: basic scientific principles, their historical development, the perspectives of political philosophy, critical security and surveillance studies; but especially the relevant law, policy and regulatory issues. Developments in key jurisdictions where the technology has been implemented, including the United Kingdom, United States, Europe and Australia, are examined. This includes case studies relating to the implementation of new technology, policy, legislation, court judgements, and where available, empirical evaluations of the use of biometrics in criminal justice systems. Examples from non-western areas of the world are also considered. Accessibly written, this book will be of interest to undergraduate, postgraduate and research students, academic researchers, as well as professionals in government, security, legal and private sectors. |
| ethical issues with facial recognition technology: Secrets Stolen, Fortunes Lost Richard Power, Christopher Burgess, 2011-08-31 The threats of economic espionage and intellectual property (IP) theft are global, stealthy, insidious, and increasingly common. According to the U.S. Commerce Department, IP theft is estimated to top $250 billion annually and also costs the United States approximately 750,000 jobs. The International Chamber of Commerce puts the global fiscal loss at more than $600 billion a year.Secrets Stolen, Fortunes Lost offers both a fascinating journey into the underside of the Information Age, geopolitics, and global economy, shedding new light on corporate hacking, industrial espionage, counterfeiting and piracy, organized crime and related problems, and a comprehensive guide to developing a world-class defense against these threats. You will learn what you need to know about this dynamic global phenomenon (how it happens, what it costs, how to build an effective program to mitigate risk and how corporate culture determines your success), as well as how to deliver the message to the boardroom and the workforce as a whole. This book serves as an invaluable reservoir of ideas and energy to draw on as you develop a winning security strategy to overcome this formidable challenge. - It's Not Someone Else's Problem: Your Enterprise is at Risk Identify the dangers associated with intellectual property theft and economic espionage - The Threat Comes from Many Sources Describes the types of attackers, threat vectors, and modes of attack - The Threat is Real Explore case studies of real-world incidents in stark relief - How to Defend Your Enterprise Identify all aspects of a comprehensive program to tackle such threats and risks - How to Deliver the Message: Awareness and Education Adaptable content (awareness and education materials, policy language, briefing material, presentations, and assessment tools) that you can incorporate into your security program now |
| ethical issues with facial recognition technology: Counter-Terrorism, Ethics and Technology Adam Henschke, Alastair Reed, Scott Robbins, Seumas Miller, 2021-12-14 This open access book brings together a range of contributions that seek to explore the ethical issues arising from the overlap between counter-terrorism, ethics, and technologies. Terrorism and our responses pose some of the most significant ethical challenges to states and people. At the same time, we are becoming increasingly aware of the ethical implications of new and emerging technologies. Whether it is the use of remote weapons like drones as part of counter-terrorism strategies, the application of surveillance technologies to monitor and respond to terrorist activities, or counterintelligence agencies use of machine learning to detect suspicious behavior and hacking computers to gain access to encrypted data, technologies play a significant role in modern counter-terrorism. However, each of these technologies carries with them a range of ethical issues and challenges. How we use these technologies and the policies that govern them have broader impact beyond just the identification and response to terrorist activities. As we are seeing with China, the need to respond to domestic terrorism is one of the justifications for their rollout of the “social credit system.” Counter-terrorism technologies can easily succumb to mission creep, where a technology’s exceptional application becomes normalized and rolled out to society more generally. This collection is not just timely but an important contribution to understand the ethics of counter-terrorism and technology and has far wider implications for societies and nations around the world. |
| ethical issues with facial recognition technology: The Moral Limits of the Criminal Law: Harm to self Joel Feinberg, 1986 N this volume, Feinberg focuses on the meanings of interest, the relationship between interests and wants, and the distinction between want-regarding and ideal-regarding analyses on interest and hard cases for the applications of the concept of harm. Examples of the hard cases are harm to character, vicarious harm, and prenatal and posthumous harm. Feinberg also discusses the relationship between harm and rights, the concept of a victim, and the distinctions of various quantitative dimensions of harm, consent, and offense, including the magnitude, probability, risk, and importance of harm. |
| ethical issues with facial recognition technology: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| ethical issues with facial recognition technology: The Bluest Eye Toni Morrison, 2007-05-08 NATIONAL BESTSELLER • From the acclaimed Nobel Prize winner—a powerful examination of our obsession with beauty and conformity that asks questions about race, class, and gender with characteristic subtly and grace. In Morrison’s acclaimed first novel, Pecola Breedlove—an 11-year-old Black girl in an America whose love for its blond, blue-eyed children can devastate all others—prays for her eyes to turn blue: so that she will be beautiful, so that people will look at her, so that her world will be different. This is the story of the nightmare at the heart of her yearning, and the tragedy of its fulfillment. Here, Morrison’s writing is “so precise, so faithful to speech and so charged with pain and wonder that the novel becomes poetry” (The New York Times). |
| ethical issues with facial recognition technology: Ethics in Higher Education Maureen E. Squires, 2020 Higher education serves many purposes, one of which is to prepare college and university students with the knowledge, skills and dispositions necessary for employment. Some would argue that this is the primary and even sole purpose of collegiate education. However, many also contend that university education is intended to broaden students' minds and enable them to question, investigate and think critically in order to be productive and engaged citizens. Regardless of the lens through which higher education is viewed, within any of these purposes is the need for ethical practices in teaching, learning, student engagement, and overall operational structures. Truly, in every facet of university life, ethical practices exist. If institutions of higher education are the places where, in part, the global future is shaped, then it is imperative that these same organizations be the exemplars of ethical practices.The Practice of Ethics in Higher Education includes chapters that explore and examine topics such as teaching of ethics, ethical practices on campus, ethics of clinical practices, ethics and leadership in the academy, ethics in hiring practices at colleges/universities, ethics and campus-sponsored research, as well as other topics relevant to higher education. In addition to drawing attention to the successes and challenges regarding ethical practices in higher education, this book aims to encourage future research initiatives and collaborations. |
| ethical issues with facial recognition technology: The Formula Luke Dormehl, 2014-11-04 A fascinating guided tour of the complex, fast-moving, and influential world of algorithms—what they are, why they’re such powerful predictors of human behavior, and where they’re headed next. Algorithms exert an extraordinary level of influence on our everyday lives - from dating websites and financial trading floors, through to online retailing and internet searches - Google's search algorithm is now a more closely guarded commercial secret than the recipe for Coca-Cola. Algorithms follow a series of instructions to solve a problem and will include a strategy to produce the best outcome possible from the options and permutations available. Used by scientists for many years and applied in a very specialized way they are now increasingly employed to process the vast amounts of data being generated, in investment banks, in the movie industry where they are used to predict success or failure at the box office and by social scientists and policy makers. What if everything in life could be reduced to a simple formula? What if numbers were able to tell us which partners we were best matched with – not just in terms of attractiveness, but for a long-term committed marriage? Or if they could say which films would be the biggest hits at the box office, and what changes could be made to those films to make them even more successful? Or even who is likely to commit certain crimes, and when? This may sound like the world of science fiction, but in fact it is just the tip of the iceberg in a world that is increasingly ruled by complex algorithms and neural networks. In The Formula, Luke Dormehl takes readers inside the world of numbers, asking how we came to believe in the all-conquering power of algorithms; introducing the mathematicians, artificial intelligence experts and Silicon Valley entrepreneurs who are shaping this brave new world, and ultimately asking how we survive in an era where numbers can sometimes seem to create as many problems as they solve. |
| ethical issues with facial recognition technology: Artificial Intelligence in Behavioral and Mental Health Care David D. Luxton, 2015-09-10 Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. - Summarizes AI advances for use in mental health practice - Includes advances in AI based decision-making and consultation - Describes AI applications for assessment and treatment - Details AI advances in robots for clinical settings - Provides empirical data on clinical efficacy - Explores practical issues of use in clinical settings |
| ethical issues with facial recognition technology: Artificial Intelligence in Education Wayne Holmes, Maya Bialik, Charles Fadel, 2019-02-28 The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book Artificial Intelligence in Education, Promises and Implications for Teaching and Learning by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant. --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue.I commend this book to anyone concerned with the future of education in a digital world. --Marc Durando, Executive Director, European Schoolnet |
| ethical issues with facial recognition technology: 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. |
| ethical issues with facial recognition technology: Handbook on European data protection law Council of Europe, European Union Agency for Fundamental Rights, 2018-04-15 The rapid development of information technology has exacerbated the need for robust personal data protection, the right to which is safeguarded by both European Union (EU) and Council of Europe (CoE) instruments. Safeguarding this important right entails new and significant challenges as technological advances expand the frontiers of areas such as surveillance, communication interception and data storage. This handbook is designed to familiarise legal practitioners not specialised in data protection with this emerging area of the law. It provides an overview of the EU’s and the CoE’s applicable legal frameworks. It also explains key case law, summarising major rulings of both the Court of Justice of the European Union and the European Court of Human Rights. In addition, it presents hypothetical scenarios that serve as practical illustrations of the diverse issues encountered in this ever-evolving field. |
ETHICAL Definition & Meaning - Merriam-Webster
The meaning of ETHICAL is of or relating to ethics. How to use ethical in a sentence. Synonym Discussion of Ethical.
ETHICAL | English meaning - Cambridge Dictionary
ETHICAL definition: 1. relating to beliefs about what is morally right and wrong: 2. morally right: 3. An ethical…. Learn more.
ETHICAL Definition & Meaning | Dictionary.com
Ethical definition: pertaining to or dealing with morals or the principles of morality; pertaining to right and wrong in conduct.. See examples of ETHICAL used in a sentence.
Ethics | Definition, History, Examples, Types, Philosophy, & Facts ...
Apr 21, 2025 · The term ethics may refer to the philosophical study of the concepts of moral right and wrong and moral good and bad, to any philosophical theory of what is morally right and …
Ethical - definition of ethical by The Free Dictionary
1. pertaining to or dealing with morals or the principles of morality; pertaining to ethics. 2. being in accordance with the rules or standards for right conduct or practice, esp. the standards of a …
ethical adjective - Definition, pictures, pronunciation and usage …
Definition of ethical adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
What does Ethical mean? - Definitions.net
Ethical refers to principles of right or wrong that govern a person's behavior or the conducting of an activity. It pertains to accepted standards of conduct based on concepts of morality, …
What Does Ethical Mean? | Clear Principles Explained
Ethical refers to principles that govern behavior, ensuring actions align with moral values and societal norms. Ethics is a branch of philosophy that deals with questions about what is …
ethical - Wiktionary, the free dictionary
May 15, 2025 · ethical (comparative more ethical, superlative most ethical) (philosophy, not comparable) Of or relating to the study of ethics. The philosopher Kant is particularly known for …
What Does Ethical Mean? - The Word Counter
Apr 2, 2022 · According to Dictionary, the word ethical is an adjective that means related to morals or principles or the concept of right and wrong. If something is ethical, it is within moral …
ETHICAL Definition & Meaning - Merriam-Webster
The meaning of ETHICAL is of or relating to ethics. How to use ethical in a sentence. Synonym Discussion of Ethical.
ETHICAL | English meaning - Cambridge Dictionary
ETHICAL definition: 1. relating to beliefs about what is morally right and wrong: 2. morally right: 3. An ethical…. Learn more.
ETHICAL Definition & Meaning | Dictionary.com
Ethical definition: pertaining to or dealing with morals or the principles of morality; pertaining to right and wrong in conduct.. See examples of ETHICAL used in a sentence.
Ethics | Definition, History, Examples, Types, Philosophy, & Facts ...
Apr 21, 2025 · The term ethics may refer to the philosophical study of the concepts of moral right and wrong and moral good and bad, to any philosophical theory of what is morally right and …
Ethical - definition of ethical by The Free Dictionary
1. pertaining to or dealing with morals or the principles of morality; pertaining to ethics. 2. being in accordance with the rules or standards for right conduct or practice, esp. the standards of a …
ethical adjective - Definition, pictures, pronunciation and usage …
Definition of ethical adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
What does Ethical mean? - Definitions.net
Ethical refers to principles of right or wrong that govern a person's behavior or the conducting of an activity. It pertains to accepted standards of conduct based on concepts of morality, …
What Does Ethical Mean? | Clear Principles Explained
Ethical refers to principles that govern behavior, ensuring actions align with moral values and societal norms. Ethics is a branch of philosophy that deals with questions about what is morally …
ethical - Wiktionary, the free dictionary
May 15, 2025 · ethical (comparative more ethical, superlative most ethical) (philosophy, not comparable) Of or relating to the study of ethics. The philosopher Kant is particularly known for …
What Does Ethical Mean? - The Word Counter
Apr 2, 2022 · According to Dictionary, the word ethical is an adjective that means related to morals or principles or the concept of right and wrong. If something is ethical, it is within moral …
