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, […]
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. […]
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 […]
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 […]
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.
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.
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 […]
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.
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.
As the volume of consumer data grows, an increasing number of decisions previously made by humans are now made by algorithms. Many thought leaders have called for algorithmic transparency to […]