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The right to privacy is a fundamental right. Along with the related right to personal data protection, it has come to take a central place in contemporary employment relations and shows significant relevance for the future of work. This thoroughly researched volume, which offers insightful essays by leading European academics and policymakers in labour and employment law, is the first to present a thoroughly up-to-date Europe-wide survey and analysis of the intensive and growing interaction of workplace relations systems with developments in privacy law. With abundant reference to the EU’s General Data Protection Regulation, the case law of the European Court of Human Rights, and the work of the International Labour Organisation, the book proceeds as a series of country chapters, each by a recognised expert in a specific jurisdiction. Legal comparison is based on a questionnaire circulated to the contributors in advance. Each country chapter addresses the national legal weight of such issues and topics as the following: interaction of privacy and data protection law; legitimacy, purpose limitation, and data minimisation; transparency; role of consent; artificial intelligence and automated decision-making; health-related data, including biometrics and psychological testing; monitoring and surveillance; and use of social media. A detailed introductory overview begins the volume. The research for this book is based on a dynamic methodology, founded in scientific desk research and expert networking. Recognising that the need for further guidance for privacy at work has been demonstrated by various European and international bodies, this book delivers a signal contribution to the field for social partners, practitioners, policymakers, scholars, and all other stakeholders working at the crossroads of privacy, data protection, and labour law.
A long-time chief data scientist at Amazon shows how open data can make everyone, not just corporations, richer Every time we Google something, Facebook someone, Uber somewhere, or even just turn on a light, we create data that businesses collect and use to make decisions about us. In many ways this has improved our lives, yet, we as individuals do not benefit from this wealth of data as much as we could. Moreover, whether it is a bank evaluating our credit worthiness, an insurance company determining our risk level, or a potential employer deciding whether we get a job, it is likely that this data will be used against us rather than for us. In Data for the People, Andreas Weigend draws on his years as a consultant for commerce, education, healthcare, travel and finance companies to outline how Big Data can work better for all of us. As of today, how much we benefit from Big Data depends on how closely the interests of big companies align with our own. Too often, outdated standards of control and privacy force us into unfair contracts with data companies, but it doesn't have to be this way. Weigend makes a powerful argument that we need to take control of how our data is used to actually make it work for us. Only then can we the people get back more from Big Data than we give it. Big Data is here to stay. Now is the time to find out how we can be empowered by it.
The advent of computerized data systems, the growth of managed care, the AIDS epidemic, mandatory reporting requirements for child abuse, workplace drug testing, and various laws requiring that social workers maintain confidential communications in some situations yet disclose them in others have made confidentiality a vital, changing area of the law. Practitioners, administrators, and those studying for these professions need to know how to use these laws to protect their clients, themselves, and their agencies. Mental health practitioners need authoritative guidance in these areas when working with clients -- children as well as adults -- in both individual and group settings. Administrators must be aware of the laws that protect worker and client privacy, and those that permit legitimate access to information.
The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.
In recent years, new and more intrusive surveillance technology has found its way into workplaces. New medical tests provide detailed information about workers' biology that was previously unthinkable. An increasing number of employees work under camera surveillance. At the same time, computers allow for a detailed monitoring of our interactions with machines, and all this information can be electronically stored in an easily accessible format. What is happening in our workplaces? Has the trend towards more humane workplaces been broken? From an ethical point of view, which types and degrees of surveillance are acceptable, and which are not? From a policy point of view, what methods can be used to regulate the use of surveillance technology in workplaces? These are some of the questions that have driven the research reported in this book. Written by an interdisciplinary group of researchers in Computer Ethics, Medical Ethics and Moral Philosophy, this book provides a broad overview that covers both empirical and normative aspects of workplace privacy.
The Committee on National Statistics of the National Academies of Sciences, Engineering, and Medicine convened a 2-day public workshop from December 11-12, 2019, to discuss the suite of data products the Census Bureau will generate from the 2020 Census. The workshop featured presentations by users of decennial census data products to help the Census Bureau better understand the uses of the data products and the importance of these uses and help inform the Census Bureau's decisions on the final specification of 2020 data products. This publication summarizes the presentation and discussion of the workshop.
A landmark text on privacy in the information age.
Privacy in the Workplace is a practical guide that clearly explains your privacy compliance responsibilities and even instructs on steps to take once a breach has occurred. In addition to guidance on current employment-related privacy issues, the Second Edition goes further to provide complete coverage of your responsibilities in complying with Canadian privacy laws, with tools and tips for creating an effective data management program across all areas of your organization including sales, human resources, marketing, finance and the Board of Directors. Topics include: Personal Information Protection and Electronic Documents Act (PIPEDA) and reviews of the Personal Information Protection Act (PIPA) in BC and Alberta; How to avoid being accused of a privacy breach and steps to take once a breach has occurred; Protecting customer, client and supplier information; Essential information about the Personal Health Information Act (PHIA); Technology and privacy - a guide to sound online marketing practices; and Highlights of significant cases and their impact on Canadian privacy law.
Click on the Supplements tab above for further details on the different versions of SPSS programs. The canonical Handbook is completely updated with more student-friendly features The Handbook of Social Work Research Methods is a cutting-edge volume that covers all the major topics that are relevant for Social Work Research methods. Edited by Bruce Thyer and containing contributions by leading authorities, this Handbook covers both qualitative and quantitative approaches as well as a section that delves into more general issues such as evidence based practice, ethics, gender, ethnicity, International Issues, integrating both approaches, and applying for grants. New to this Edition More content on qualitative methods and mixed methods More coverage of evidence-based practice More support to help students effectively use the Internet A companion Web site at www.sagepub.com/thyerhdbk2e containing a test bank and PowerPoint slides for instructors and relevant SAGE journal articles for students. This Handbook serves as a primary text in the methods courses in MSW programs and doctoral level programs. It can also be used as a reference and research design tool for anyone doing scholarly research in social work or human services.
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