Artificial Intelligence

The FPF Privacy Book Club provides members with the opportunity to read a wide range of books — privacy, data, ethics, academic works, and other important data relevant issues — and have an open discussion of the selected literature. For January, we will discuss We, the Robots? Regulating Artificial Intelligence and the Limits of the […]

In early September 2021, the European Telecommunications Standards Institute (ETSI) published its European Standard to lay down baseline cybersecurity requirements for Internet of Things (IoT) consumer products (ETSI EN 303 645 V2.1.1). The Standard is a recommendation to manufacturers to develop IoT devices securely from the outset. It also provides an internationally recognized benchmark – […]

The proposed Regulation on Artificial Intelligence (‘proposed AIA’ or ‘the Proposal’) put forward by the European Commission is the first initiative towards a comprehensive legal framework on AI in the world. It aims to set rules on specific AI applications in certain contexts and does not intend to regulate AI technology in general. The proposed […]

On July 21, the Future of Privacy Forum (FPF) and Singapore’s Personal Data Protection Commission (PDPC) co-hosted a workshop as part of Singapore’s Personal Data Protection Week, titled “Data Sovereignty, Data Transfers and Data Protection – Impact on AI and Immersive Tech” at Marina Bay Sands Expo and Convention Center in Singapore. The event focused […]

This summer the first-ever in-person Computers, Privacy and Data Protection Conference – Latin America (CPDP LatAm) took place in Rio de Janeiro on July 12 and 13. The Future of Privacy Forum (FPF) was present at the event, titled Artificial Intelligence and Data Protection in Latin America, participating in two panels and submitting a paper […]

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. 

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.

In legislatures across the United States, state lawmakers are introducing proposals to govern the uses of automated decision-making systems (ADS) in record numbers. In contrast to comprehensive privacy bills that would regulate collection and use of personal information, automated decision-making system (ADS) bills in 2021 specifically seek to address increasing concerns about racial bias or […]

On Wed., April 14th, FPF hosted an expert panel discussion on “AI Out Loud: Representation in Data for Voice-Activated Devices, Assistants.” FPF’s Senior Counsel and Director of AI and Ethics, Brenda Leong, moderated the panel featuring Anne Toth, the Director of Alexa Trust, Amazon; Irina Raicu, Internet Ethics Program Director, Markkula Center for Applied Ethics, […]