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[…] data, many existing federal and state laws do already apply to contact tracing efforts or to certain types of data (such as location data collected by cell phone carriers). For example, all states have unfair and deceptive practices (UDAP) laws and laws governing healthcare entities (supplementing HIPAA). Many states also have strong laws governing […]

[…] as credit card data; Leading consumer genetic testing companies have received few law enforcement access requests overall, and volume has been stable over time; Of the small number of requests for genetic information that companies receive, few result in the disclosure of genetic data – companies have declined to disclose data and have fought […]

[…] (pdf, .doc, or .docx) or link to a publicly available download (e.g. SSRN). 1-page Executive Summary or Abstract (pdf, .doc, or .docx) For each Author: name; email; phone number; mailing address; and full job title or affiliation Note: authors of selected papers will be asked for a headshot and 75-250 word biography. Papers must […]

[…] in favor of a higher civil penalty, raising the maximum fine from $5,000 to $10,000.  Other Federal and State Laws // In the United States, a growing number of sectoral laws are applicable to companies that process genetic information. The federal Genetic Information Nondiscrimination Act (GINA) prevents genetic discrimination in health insurance and employment, […]

[…] Connectivity, Swiss consumer electronics company –     Telefónica, Spanish mobile network provider FPF research also determined that more than 1,700 companies, nearly one-third of the total number analyzed, joined Privacy Shield to transfer their human resources data. The research identified 259 Privacy Shield companies headquartered or co-headquartered in Europe. Top EU locations for […]

[…] communications. Encryption is a mathematical process that scrambles information; it is often used to secure or authenticate sensitive documents. Each use of encryption generates a very long number that is the mathematical solution to the formula and can unscramble the protected sensitive information. This “key” must be kept a secret or anyone who has […]

[…] about the changes and potential impact on existing and new apps in these videos and forums. The following two videos, in particular, provide more information regarding a number of changes which serve to encourage data minimization, reduce the likelihood of apps over-sharing data, and increase user transparency and control. Build trust through better privacy […]

[…] LU To protect privacy when using machine learning, many researchers or developers focus on securing the data of individuals whose interaction with the internet of things, mobile phones, and other data gathering devices powers much of machine learning. But, truly securing privacy in machine learning systems also means securing the models themselves. Securing models […]

[…] Consumer Privacy Act (CCPA). Reportedly, Mactaggart’s interest in privacy was inspired by a conversation with an ex-Google engineer at a cocktail party. In California, once the requisite number of signatures are qualified by the Secretary of State, the initiative is approved to appear on an upcoming ballot, where pursuant to a majority vote, the […]

[…] dilemmas. Social resistance to the excesses of the new data economy is becoming increasingly visible and leads to calls for new legislation. Commentators argue that a relatively small number of companies are disproportionately profiting from consumers’ data, and that the economic gap continues to grow between technology companies and the consumers whose data drives the […]