Biometric technology has long been used for security and law enforcement purposes such as national security watch lists, passport controls, criminal fingerprint databases, and immigration processing. Now, however, the private sector increasingly uses these systems as a verification method for authentication that previously required a PIN or password. Apple’s decision to include a fingerprint scanner in the iPhone in 2013 brought new public awareness to possible non-law-enforcement applications of biometric technologies, and the company’s shift to facial recognition access in the most recent models further normalized the concept. Biometric technology continues to be adopted in many sectors, including financial services, transportation, health care, computer systems and facility access, and voting. In many cases, this technology is more efficient, less expensive, and easier to use than traditional alternatives, while also eliminating the need for passwords, which are broadly recognized as an insufficiently secure safeguard for user data. However, as with any digital system, there are privacy concerns around the collection, use, storage, sharing, and analysis of the data that are generated by these systems. FPF’s Biometrics work is led by Brenda Leong.
Five Top of Mind Data Protection Recommendations for Brain-Computer Interfaces
By Jeremy Greenberg, [email protected] and Katelyn Ringrose [email protected] Key FPF-curated background resources – policy & regulatory documents, academic papers, and technical analyses regarding brain-computer interfaces are available here. Recently, […]
Thermal Imaging as Pandemic Exit Strategy: Limitations, Use Cases and Privacy Implications
Authors: Hannah Schaller, Gabriela Zanfir-Fortuna, and Rachele Hendricks-Sturrup Around the world, governments, companies, and other entities are either using or planning to rely on thermal imaging as an integral part […]
A New U.S. Model for Privacy? Comparing the Washington Privacy Act to GDPR, CCPA, and More
By Stacey Gray, Pollyanna Sanderson, and Katelyn Ringrose Download a printable version of this report (pdf). As Congress continues to work toward drafting and passing a comprehensive national privacy law, […]
FPF Letter to NY State Legislature
On Friday, June 14, FPF submitted a letter to the New York State Assembly and Senate supporting a well-crafted moratorium on facial recognition systems for security uses in public schools.
CCPA Amendment Update June 2019 – Twelve Bills Survive Assembly and Move to the Senate
By Michelle Bae and Jeremy Greenberg Privacy professionals seeking clarity on compliance with the California Consumer Privacy Act (CCPA) are monitoring numerous amendment bills introduced in the California State Assembly […]
FPF Comments on the Washington Privacy Act, SB 5376
Today, the Future of Privacy Forum submitted comments to the Washington State Senate Ways & Means Committee on the proposed Washington Privacy Act, Senate Bill 5376. FPF takes a “neutral” […]
Artificial Intelligence: Privacy Promise or Peril?
Understanding AI and its underlying algorithmic processes presents new challenges for privacy officers and others responsible for data governance in companies ranging from retailers to cloud service providers. In the absence of targeted legal or regulatory obligations, AI poses new ethical and practical challenges for companies that strive to maximize consumer benefits while preventing potential harms.
AI and Machine Learning: Perspectives with FPF’s Brenda Leong
As we prepare to toast our 10th anniversary, we’re hearing from FPF policy experts about important privacy issues. Today, Brenda Leong, FPF Senior Counsel and Director of Strategy, is sharing […]
Digital Data Flows Masterclass: Emerging Technologies
Digital Data Flows Masterclass is a year-long educational program designed for regulators, policymakers, and staff seeking to better understand the data-driven technologies at the forefront of data protection law & policy. […]
Calls for Regulation on Facial Recognition Technology
We look forward to working with Microsoft, others in industry, and policymakers to “create policies, processes, and tools” to make responsible use of Facial Recognition technology a reality.