FPF Ethical Data Use Committee will Support Research Relying on Private Sector Data
FPF has launched an independent ethical review committee to provide oversight for research projects that rely upon sharing of corporate data with researchers. Whether researchers are studying the impact of platforms on society, supporting evidence based policymaking, or understanding issues from COVID to climate change, personal data held by companies is increasingly essential to advancing scientific knowledge.
FPF Seeks Nominations for 2021 Research Data Stewardship Award
The Call for Nominations for the 2021 FPF Award for Research Data Stewardship is now open. You can find the nominations forms here. We ask that nominations be submitted by Monday, March 1, 2021. The FPF Award for Research Data Stewardship recognizes excellence in the privacy-protective stewardship of corporate data that is shared with academic researchers. […]
FPF Health and AI & Ethics Policy Counsels Present a Scientific Position at ICML 2020 and at 2020 CCSQ World Usability Day
On November 12, 2020, FPF Policy Counsels Drs. Rachele Hendricks-Sturrup and Sara Jordan presented privacy-by-design alongside human-centered design concepts during the 2020 CCSQ World Usability Day virtual conference. This presentation followed Drs. Hendricks-Sturrup’s and Jordan’s July 2020 scientific position paper presented at the International Conference on Machine Learning (ICML) 2020, entitled “Patient- Reported Outcomes: A Privacy-Centric and Federated Approach […]
24 Organizations Release Principles for Protecting Student Data Privacy and Equity in the Pandemic
The Future of Privacy Forum (FPF) and 23 other education, healthcare, disability rights, data protection, and civil liberties organizations today released Education During a Pandemic: Principles for Student Data Privacy and Equity (available here). The Principles offer 10 guiding recommendations for schools as they rely on new technologies and data to facilitate remote, in-person, or […]
California SB 980 Would Codify Many of FPF’s Best Practices for Consumer Genetic Testing Services, but Key Differences Remain
Authors: John Verdi (Vice President of Policy) and Katelyn Ringrose (Christopher Wolf Diversity Law Fellow) In July 2018, the Future of Privacy Forum released Privacy Best Practices for Consumer Genetic Testing Services. FPF developed the Best Practices following consultation with technical experts, regulators, leading consumer genetic and personal genomic testing companies, and civil society. The […]
FPF Receives Grant To Design Ethical Review Process for Research Access to Corporate Data
Future of Privacy Forum (FPF) has received a grant to create an independent party of experts for an ethical review process that can provide trusted vetting of corporate-academic research projects. FPF will establish a pool of respected reviewers to operate as a standalone, on-demand review board to evaluate research uses of personal data and create a set of transparent policies and processes to be applied to such reviews.
School Safety Report Neglects Privacy Concerns
Yesterday, the Federal Commission on School Safety released a report detailing its conclusions, after holding a series of meetings and hearings in the wake of school shootings. Nearly every aspect of the Commission’s report focuses on sharing data and, thus, has privacy implications for students, teachers, and the public.
New Resource on FERPA's Health and Safety Emergency
The Future of Privacy Forum has released a new guide, Disclosing Student Information During School Emergencies: A Primer for Schools, which offers four best practices for information disclosure and answers five frequently asked questions about FERPA’s requirements for sharing information during health or safety emergencies. Read more about this guide in the Future of Privacy Forum’s […]
Unfairness By Algorithm: Distilling the Harms of Automated Decision-Making
Analysis of personal data can be used to improve services, advance research, and combat discrimination. However, such analysis can also create valid concerns about differential treatment of individuals or harmful impacts on vulnerable communities. These concerns can be amplified when automated decision-making uses sensitive data (such as race, gender, or familial status), impacts protected classes, or affects individuals’ eligibility for housing, employment, or other core services. When seeking to identify harms, it is important to appreciate the context of interactions between individuals, companies, and governments—including the benefits provided by automated decision-making frameworks, and the fallibility of human decision-making.
Examining Ethics, Privacy, and Research Reviews
Today, the Future of Privacy Forum (FPF) and the Ohio State University’s Program on Data and Governance are holding a discussion of ethics, privacy and practical research reviews in corporate settings. This timely event, which follows the White House’s call to develop strong data ethics frameworks, convened corporate and academic leaders to discuss how to integrate ethical and privacy considerations into innovative data projects and research.