Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 5 of 5
Full-Text Articles in Privacy Law
Artificial Intelligence And The Challenges Of Workplace Discrimination And Privacy, Pauline Kim, Matthew T. Bodie
Artificial Intelligence And The Challenges Of Workplace Discrimination And Privacy, Pauline Kim, Matthew T. Bodie
Scholarship@WashULaw
Employers are increasingly relying on artificially intelligent (AI) systems to recruit, select, and manage their workforces, raising fears that these systems may subject workers to discriminatory, invasive, or otherwise unfair treatment. This article reviews those concerns and provides an overview of how current laws may apply, focusing on two particular problems: discrimination on the basis of protected characteristics like race, sex, or disability, and the invasion of workers’ privacy engendered by workplace AI systems. It discusses the ways in which relying on AI to make personnel decisions can produce discriminatory outcomes and how current law might apply. It then explores …
Data Mining And The Challenges Of Protecting Employee Privacy Under U.S. Law, Pauline Kim
Data Mining And The Challenges Of Protecting Employee Privacy Under U.S. Law, Pauline Kim
Scholarship@WashULaw
Concerns about employee privacy have intensified with the introduction of data mining tools in the workplace. Employers can now readily access detailed data about workers’ online behavior or social media activities, purchase background information from data brokers, and collect additional data from workplace surveillance tools. When data mining techniques are applied to this wealth of data, it is possible to infer additional information about employees beyond the information that is collected directly. As a consequence, these tools can alter the meaning and significance of personal information depending upon what other information it is aggregated with and how the larger dataset …
People Analytics And The Regulation Of Information Under The Fair Credit Reporting Act, Pauline Kim, Erika Hanson
People Analytics And The Regulation Of Information Under The Fair Credit Reporting Act, Pauline Kim, Erika Hanson
Scholarship@WashULaw
People analytics — the use of big data and computer algorithms to make personnel decisions — has been drawing increasing public and scholarly scrutiny. Concerns have been raised that the data collection intrudes on individual privacy, and that algorithms can produce unfair or discriminatory results. This symposium contribution considers whether the Fair Credit Reporting Act’s regulation of consumer information used for employment purposes can respond these concerns. The FCRA establishes certain procedural requirements, and these can sometimes help individual workers challenge inaccurate information about them. However, the statute does little to curb intrusive data collection practices or to address the …
Electronic Privacy And Employee Speech, Pauline Kim
Electronic Privacy And Employee Speech, Pauline Kim
Scholarship@WashULaw
The boundary between work and private life is blurring as a result of changes in the organization of work and advances in technology. Current privacy law is ill-equipped to address these changes and as a result, employees’ privacy in their electronic communications is only weakly protected from employer scrutiny. At the same time, the law increasingly protects certain socially valued forms of employee speech. In particular, collective speech, speech that enforces workplace regulations and speech that deters or reports employer wrong-doing are explicitly protected by law from employer reprisals. These two developments — weak protection of employee privacy and increased …
Regulating The Use Of Genetic Information: Perspective From The U.S. Experience, Pauline Kim
Regulating The Use Of Genetic Information: Perspective From The U.S. Experience, Pauline Kim
Scholarship@WashULaw
This essay comments on an empirical study documenting the policies, practices, and attitudes of Australian employers regarding the use of genetic information from the U.S. perspective. The U.S. Congress recently enacted the Genetic Information Nondiscrimination Act of 2008 (GINA), which, among other things, prohibits employment discrimination on the basis of genetic information and restricts employers’ access to their employees’ genetic information. Just as the Australian study found no evidence of systematic use of genetic testing or screening by employers, GINA was passed in the absence of any evidence of widespread employment discrimination on the basis of genetic characteristics. Although it …