An AI-based computer system can gather data and use that data to make decisions or solve problems – using algorithms to perform tasks that, if done by a human, would be said to require intelligence. The benefits created by AI and machine learning (ML) systems for better health care, safer transportation, and greater efficiencies across the globe are already happening. But the increased amounts of data and computing power that enable sophisticated AI and ML models raise questions about the privacy impacts, ethical consequences, fairness, and real world harms if the systems are not designed and managed responsibly. FPF works with commercial, academic, and civil society supporters and partners to develop best practices for managing risk in AI and ML and assess whether historical data protection practices such as fairness, accountability, and transparency are sufficient to answer the ethical questions they raise. FPF’s work on AI and ML is led by Brenda Leong.
Five Things Lawyers Need to Know About AI
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.
Brain-Computer Interfaces: Privacy and Ethical Considerations for the Connected Mind
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.
The Spectrum of AI: Companion to the FPF AI Infographic
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.
Now, On the Internet, EVERYONE Knows You’re a Dog
Digital identity systems vary in complexity. At its most basic, a digital ID would simply recreate a physical ID in a digital format, whereasa fully integrated digital identity system would provide a platform for a complete wallet and verification process, usable both online and in the physical world.
Automated Decision-Making Systems: Considerations for State Policymakers
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 […]
5 Highlights from FPF’s “AI Out Loud” Expert Panel
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, […]
FPF Testifies on Automated Decision System Legislation in California
Last week, on April 8, 2021, FPF’s Dr. Sara Jordan testified before the California House Committee on Privacy and Consumer Protection on AB-13 (Public contracts: automated decision systems). The legislation passed out of committee (9 Ayes, 0 Noes) and was re-referred to the Committee on Appropriations. The bill would regulate state procurement, use, and development […]
The Spectrum of Artificial Intelligence – An Infographic Tool
UPDATED August 3, 2021. FPF released the white paper, The Spectrum of AI: Companion to the FPF AI Infographic, to provide additional detail and analysis for use of this Infographic tool as an educational resources for policymakers or regulators. FPF has just completed its newest infographic educational tool, The Spectrum of Artificial Intelligence. AI is the […]
Understanding Blockchain: A Review of FPF’s Oct. 29th Digital Data Flows Masterclass
Authors: Hunter Dorwart, Stacey Gray, Brenda Leong, Jake van der Laan, Matthias Artzt, and Rob van Eijk On 29 October 2020, Vrije Universiteit Brussel (VUB and Future of Privacy Forum (FPF) hosted the eight Digital Data Flows Masterclass. The masterclass on blockchain technology completes the VUB-FPF Digital Data Flows Masterclass series. The most recent masterclass explored […]
FPF Submits Feedback and Comments on UNICEF’s Draft Policy Guidance on AI for Children
Last week, FPF submitted feedback and comments to the United Nations Children’s Fund (UNICEF) on the Draft Policy Guidance on Artificial Intelligence (AI) for Children, which seeks “to promote children’s rights in government and private sector AI policies and practices, and to raise awareness of how AI systems can uphold or undermine children’s rights.” The […]