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A New FPF and IBM Report and Live Event Explores Questions About Transparency, Consent, Security, and Accuracy of Data The Future of Privacy Forum (FPF) and the IBM Policy Lab released recommendations for promoting privacy and mitigating risks associated with neurotechnology, specifically with brain-computer interface (BCI). The new report provides developers and policymakers with actionable […]

There are many different uses of the term “data sharing” to describe a relationship between parties who share data from one organization to another organization for a new purpose.  Some uses of the term data sharing are related to academic and scientific research purposes, and some are related to transfer of data for commercial or government purposes. ..it is imperative that we are more precise which forms of sharing we are referencing so that the interests of the parties are adequately considered, and the various risks and benefits are appropriately contextualized and managed.

Lawyers are trained to respond to risks that threaten the market position or operating capital of their clients. However, when it comes to AI, it can be difficult for lawyers to provide the best guidance without some basic technical knowledge. This article shares some key insights from our shared experiences to help lawyers feel more at ease responding to AI questions when they arise. 

BCIs are computer-based systems that directly record, process, analyze, or modulate human brain activity in the form of neurodata that is then translated into an output command from human to machine. Neurodata is data generated by the nervous system, composed of the electrical activities between neurons or proxies of this activity. When neurodata is linked, or reasonably linkable, to an individual, it is personal neurodata. 

There has been a surge in questions posed by national courts to the Court of Justice of the EU (CJEU) in the past year on how various provisions of the General Data Protection Regulation (GDPR) should be interpreted and applied in practice. They vary from understanding essential aspects of the fundamental right to the protection […]

MDC0000320210 8 Issued: 2021-08 SAE Industry Technologies Consortia provides that: “This best practice is published by the SAE ITC to advance the stage of technical and engineering sciences. The use of this best practice is entirely voluntary and its suitability for any particular use, i ncluding any patent infringement arising therefrom, is the sole responsibility […]

MOBILITY DATA SHARING ASSESSMENT: TOOL A tailored data sharing assessment for mobility data INTRODUCTION In support of its vision to support the effective, responsible sharing of mobility data to support safe, equitable, and livable streets for all , t he Mobility Data Collaborative™ (MDC) has identified the need to improve and coordinate understanding among all […]

JULY 2021 Privacy and Equity Principles, Framework, and Stakeholder Proceedings DIGITAL CONTACT TRACING TECHNOLOGY ACKNOWLEDGMENTS This paper benefitted from contributions and editing support from Katelyn Ringrose, former FPF Policy Fellow; Srivats Shankar, former FPF Intern; Kelsey Finch, FPF Senior Policy Counsel; Pollyanna Sanderson, FPF Policy Counsel; Juliana Cotto, FPF Policy Counsel; Christy Harris, FPF Director […]

This paper outlines the spectrum of AI technology, from rules-based and symbolic AI to advanced, developing forms of neural networks, and seeks to put them in the context of other sciences and disciplines, as well as emphasize the importance of security, user interface, and other design factors.

AUGUST 2021 The Spectrum of Artificial Intelligence Companion to the FPF AI Infographic THE SPECTRUM OF ARTIFICIAL INTELLIGENCE | COMPANION TO THE FPF AI INFOGRAPHIC 1 Contents Companion to the FPF AI Infographic The Spectrum of Artificial Intelligence I. EXECUTIVE SUMMARY ______________________________________ 4 A. Symbolic AI _________________________________________ 4 B. Machine Learning _____________________________________ 5 C. Risks […]