Electronic Employment Eligibility Verification

[Excerpt] The policy issues discussed here may be especially important to consider in the context of proposals to require most or all employers to participate in E-Verify or another electronic employment eligibility verification system. A mandatory system could arguably make it possible to identify many more unauthorized workers. At the same time, under such a system, any inaccuracies, inefficiencies, or privacy breaches that occurred could affect much larger numbers of employees and employers. Employer compliance under a mandatory system would seem to be a salient issue, especially since it has direct implications for other issues, notably discrimination. Employer burden may be another important consideration. It may be that a mandatory system would require new strategies to address these issues

Evaluating the Contextual Integrity of Privacy Regulation: Parents' IoT Toy Privacy Norms Versus COPPA

Increased concern about data privacy has prompted new and updated data protection regulations worldwide. However, there has been no rigorous way to test whether the practices mandated by these regulations actually align with the privacy norms of affected populations. Here, we demonstrate that surveys based on the theory of contextual integrity provide a quantifiable and scalable method for measuring the conformity of specific regulatory provisions to privacy norms. We apply this method to the U.S. Children's Online Privacy Protection Act (COPPA), surveying 195 parents and providing the first data that COPPA's mandates generally align with parents' privacy expectations for Internet-connected "smart" children's toys. Nevertheless, variations in the acceptability of data collection across specific smart toys, information types, parent ages, and other conditions emphasize the importance of detailed contextual factors to privacy norms, which may not be adequately captured by COPPA.Comment: 18 pages, 1 table, 4 figures, 2 appendice

Review of codes of conduct, voluntary guidelines and principles relevant for farm data sharing

Codes of conduct, voluntary guidelines, sets of principles on how to transparently govern farm data are a recent thing. While laws and regulations that govern personal data are becoming more and more common, legislation still does not cover data flows in many industries where different actors in the value chain need to share data and at the same time protect all involved from the risks of data sharing. Data in these value chains is currently governed through private data contracts or licensing agreements, which are normally very complex and on which data producers have very little negotiating power. Codes of conduct have started to emerge to fill the legislative void and to set common standards for data sharing contracts: codes provide principles that the signatories/subscribers/members agree to apply in their contracts

Responsible Data Governance of Neuroscience Big Data

Open access article.Current discussions of the ethical aspects of big data are shaped by concerns regarding the social consequences of both the widespread adoption of machine learning and the ways in which biases in data can be replicated and perpetuated. We instead focus here on the ethical issues arising from the use of big data in international neuroscience collaborations. Neuroscience innovation relies upon neuroinformatics, large-scale data collection and analysis enabled by novel and emergent technologies. Each step of this work involves aspects of ethics, ranging from concerns for adherence to informed consent or animal protection principles and issues of data re-use at the stage of data collection, to data protection and privacy during data processing and analysis, and issues of attribution and intellectual property at the data-sharing and publication stages. Significant dilemmas and challenges with far-reaching implications are also inherent, including reconciling the ethical imperative for openness and validation with data protection compliance and considering future innovation trajectories or the potential for misuse of research results. Furthermore, these issues are subject to local interpretations within different ethical cultures applying diverse legal systems emphasising different aspects. Neuroscience big data require a concerted approach to research across boundaries, wherein ethical aspects are integrated within a transparent, dialogical data governance process. We address this by developing the concept of “responsible data governance,” applying the principles of Responsible Research and Innovation (RRI) to the challenges presented by the governance of neuroscience big data in the Human Brain Project (HBP)

Fair Labor Association 2007 Annual Report

Assesses the progress made by companies in the move towards sustainable corporate responsibility in their labor standards. Breaks up data by company

Electronic Employment Eligibility Verification

[Excerpt] Unauthorized immigration and unauthorized employment continue to be key issues in the ongoing debate over immigration policy. Today’s discussions about these issues build on the work of prior Congresses. In 1986, following many years of debate about unauthorized immigration to the United States, Congress passed the Immigration Reform and Control Act (IRCA). This law sought to address unauthorized immigration, in part, by requiring all employers to examine documents presented by new hires to verify identity and work authorization and to complete and retain employment eligibility verification (I 9) forms. Ten years later, in the face of a growing unauthorized population, Congress attempted to strengthen the employment verification process by establishing pilot programs for electronic verification, as part of the Illegal Immigration Reform and Immigrant Responsibility Act of 1996 (IIRIRA). The Basic Pilot program (known today as E Verify), the first of the three IIRIRA employment verification pilots to be implemented and the only one still in operation, began in November 1997. Originally scheduled to terminate in November 2001, it has been extended several times. It is currently authorized until September 30, 2018, in accordance with the Consolidated Appropriations Act, 2018 (P.L. 115 141). E Verify is administered by the Department of Homeland Security’s (DHS’s) U.S. Citizenship and Immigration Services (USCIS). As of April 2, 2018, there were 779,722 employers enrolled in E Verify, representing more than 2.5 million hiring sites. E Verify is a largely voluntary program, but there are some mandatory participation requirements. Among them is a rule, which became effective in 2009, requiring certain federal contracts to contain a new clause committing contractors to use E Verify. Under E Verify, participating employers enter information about their new hires (name, date of birth, Social Security number, immigration/citizenship status, and alien number, if applicable) into an online system. This information is automatically compared with information in Social Security Administration and, if necessary, DHS databases to verify identity and employment eligibility. Legislation on electronic employment eligibility verification has been considered in recent Congresses. In weighing proposals on electronic employment verification, Congress may find it useful to evaluate them in terms of their potential impact on a set of related issues: unauthorized employment; verification system accuracy, efficiency, and capacity; discrimination; employer compliance; privacy; and verification system usability and employer burden

Innovative public governance through cloud computing: Information privacy, business models and performance measurement challenges

Purpose: The purpose of this paper is to identify and analyze challenges and to discuss proposed solutions for innovative public governance through cloud computing. Innovative technologies, such as federation of services and cloud computing, can greatly contribute to the provision of e-government services, through scaleable and flexible systems. Furthermore, they can facilitate in reducing costs and overcoming public information segmentation. Nonetheless, when public agencies use these technologies, they encounter several associated organizational and technical changes, as well as significant challenges. Design/methodology/approach: We followed a multidisciplinary perspective (social, behavioral, business and technical) and conducted a conceptual analysis for analyzing the associated challenges. We conducted focus group interviews in two countries for evaluating the performance models that resulted from the conceptual analysis. Findings: This study identifies and analyzes several challenges that may emerge while adopting innovative technologies for public governance and e-government services. Furthermore, it presents suggested solutions deriving from the experience of designing a related platform for public governance, including issues of privacy requirements, proposed business models and key performance indicators for public services on cloud computing. Research limitations/implications: The challenges and solutions discussed are based on the experience gained by designing one platform. However, we rely on issues and challenges collected from four countries. Practical implications: The identification of challenges for innovative design of e-government services through a central portal in Europe and using service federation is expected to inform practitioners in different roles about significant changes across multiple levels that are implied and may accelerate the challenges' resolution. Originality/value: This is the first study that discusses from multiple perspectives and through empirical investigation the challenges to realize public governance through innovative technologies. The results emerge from an actual portal that will function at a European level. © Emerald Group Publishing Limited

Foreign Labor Trends Report: 2007 United States of America

An overview of recent trends in the United States\u27 labor market, government, economy and trade