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FPF Submits Comments Regarding Data Protection & COVID-19 Ahead of National Committee on Vital and Health Statistics Hearing
[…] our comments, we highlighted FPF’s recent work exploring the ethical, privacy, and data protection challenges posed by the COVID-19 crisis, and we shared resources that address a number of issues raised by the Committee in the Request for Public Comments. In particular, we provided FPF resources that address: (1) the application of the Fair […]

Call for Position Statements on Responsible Uses of Technology and Health Data During Times of Crisis
[…] October 27th and 28th 2020. Accepted submissions will be distributed to workshop attendees in advance for review, assessment, and discussion. The Planning Committee will also organize a number of invited presentations. A workshop report will be prepared and used by the National Science Foundation to help set direction for the Convergence Accelerator 2021 Workshops, […]

FPF Presents Expert Analysis to Washington State Lawmakers as Multiple States Weigh COVID-19 Privacy and Contact Tracing Legislation
[…] 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 […]

FPF Releases Follow-Up Report on Consumer Genetics Companies and Practice of Transparency Reporting
[…] 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 […]

11th Annual Privacy Papers for Policymakers — Call for Nominations
[…] (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 […]

California SB 980 Would Codify Many of FPF’s Best Practices for Consumer Genetic Testing Services, but Key Differences Remain
[…] 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, […]

New FPF Study: More Than 250 European Companies are Participating in Key EU-US Data Transfer Mechanism
[…] 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 […]

Strong Data Encryption Protects Everyone: FPF Infographic Details Encryption Benefits for Individuals, Enterprises, and Government Officials
[…] 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 […]

iOS Privacy Advances
[…] 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 […]

Privacy Scholarship Research Reporter: Issue 5, July 2020 – Preserving Privacy in Machine Learning: New Research on Data and Model 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 […]