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New White Paper Explores Privacy and Security Risk to Machine Learning Systems
[…] protection in machine learning, including recommending techniques such as noise injection, inserting intermediaries between training data and the model, making machine learning mechanisms transparent, access controls, monitoring, documentation, testing, and debugging. “Privacy or security harms in machine learning do not necessarily require direct access to underlying data or source code,” said Andrew Burt, Immuta […]

Warning Signs: Identifying Privacy and Security Risks to Machine Learning Systems
[…] protection in machine learning, including recommending techniques such as noise injection, inserting intermediaries between training data and the model, making machine learning mechanisms transparent, access controls, monitoring, documentation, testing, and debugging. My co-authors of the paper are Andrew Burt, Immuta Chief Privacy Officer and Legal Engineer, Sophie Stalla-Bourdillon, Immuta Senior Privacy Counsel and Legal […]

Education, Privacy, Disability Rights, and Civil Rights Groups Send Letter to Florida Governor About Discriminatory Student Database
Today, the Future of Privacy Forum and 32 other education, disability rights, privacy, and civil rights organizations sent a letter to Florida Governor DeSantis, urging him to postpone the implementation of Florida’s proposed school safety database.

Ethical and Privacy Protective Academic Research and Corporate Data
Is edtech helping or hindering student education? What effect does social media have on elections? What types of user interfaces help users manage privacy settings? Can the data collected by wearables inform health care? In almost every area of science, academic researchers are seeking access to personal data held by companies to advance their work. […]

FPF and IAF Release "A Taxonomy of Definitions for the Health Data Ecosystem"
Healthcare technologies are rapidly evolving, producing new data sources, data types, and data uses, which precipitate more rapid and complex data sharing. Novel technologies—such as artificial intelligence tools and new internet of things (IOT) devices and services—are providing benefits to patients, doctors, and researchers. Data-driven products and services are deepening patients’ and consumers’ engagement, and […]

The Israel Tech Policy Institute: A Discussion with Limor Shmerling Magazanik
While Israel’s image as the “Start-up Nation” is well known in tech circles, the country has lacked a central organization capable of promoting the same level of thought leadership on tech policy and privacy issues. The launch of the Israel Tech Policy Institute (ITPI) in June 2018 ensured that this is no longer the […]

Consumer Genetic Testing: A Q&A with Carson Martinez
[…] Another rising issue is the interoperability of data. If data is more portable, it can be more easily analyzed. Hopefully, consumer access and the development of third-party APIs to facilitate consumer-directed exchanges will empower people to take control of their own health and biological information and enhance interoperability. In the medical world, there are […]

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 her perspective on AI and machine learning. Brenda also manages the FPF portfolio on biometrics, particularly facial recognition, and oversees strategic planning for the organization.Tell […]

New FPF Study Documents More Than 150 European Companies Participating in the EU-US Data Transfer Mechanism
New FPF Study Documents More Than 150 European Companies Participating in the EU-US Data Transfer Mechanism EU Companies’ Participation Grew by One Third Over the Past Year By Jeremy Greenberg Yesterday, the European Commission published its second annual review of the EU-U.S. Privacy Shield, finding that “the U.S. continues to ensure an adequate level of […]

Future of Privacy Forum and Actionable Intelligence for Social Policy Release ‘Nothing to Hide: Tools for Talking (and Listening) About Data Privacy for Integrated Data Systems’
Washington, DC – Today, Future of Privacy Forum and Actionable Intelligence for Social Policy released Nothing to Hide: Tools for Talking (and Listening) About Data Privacy for Integrated Data Systems. Nothing to Hide provides governments and their partners working to integrate data for policy and program improvement with the necessary tools to lead privacy-sensitive, inclusive engagement efforts. In addition to a narrative step-by-step guide to communication and engagement on data privacy, the toolkit is supplemented with action-oriented appendices, including worksheets, checklists, exercises, and additional resources.