FPF has just completed its newest infographic educational tool, The Spectrum of Artificial Intelligence. AI is the computerized ability to perform tasks commonly associated with human intelligence, including reasoning, discovering patterns […]
Strong Data Encryption Protects Everyone: FPF Infographic Details Crypto Benefits for Individuals, Enterprises, and Government Officials
Today, the Future of Privacy Forum released a new tool: the interactive visual guide “Strong Data Encryption Protects Everyone.” The infographic illustrates how strong encryption protects individuals,enterprises, and the government. FPF’s […]
How is location data generated from mobile devices, who gets access to it, and how? As debates over companies and public health authorities using device data to address the current […]
Personal data – used lawfully, fairly, and transparently – is central to helping organizations achieve their missions. Today, Boards of Directors, CEOs, policymakers, and others need to understand the wide […]
FPF Releases Understanding Facial Detection, Characterization, and Recognition Technologies and Privacy Principles for Facial Recognition Technology in Commercial Applications
These resources will help businesses and policymakers better understand and evaluate the growing use of face-based biometric technology systems when used for consumer applications. Facial recognition technology can help users organize and label photos, improve online services for visually impaired users, and help stores and stadiums better serve customers. At the same time, the technology often involves the collection and use of sensitive biometric data, requiring careful assessment of the data protection issues raised. Understanding the technology and building trust are necessary to maximize the benefits and minimize the risks.
The Best Practices provide a policy framework for the collection, protection, sharing, and use of Genetic Data generated by consumer genetic testing services. These services are commonly offered to consumers for testing and interpretation related to ancestry, health, nutrition, wellness, genetic relatedness, lifestyle, and other purposes.
Analysis of personal data can be used to improve services, advance research, and combat discrimination. However, such analysis can also create valid concerns about differential treatment of individuals or harmful impacts on vulnerable communities. These concerns can be amplified when automated decision-making uses sensitive data (such as race, gender, or familial status), impacts protected classes, or affects individuals’ eligibility for housing, employment, or other core services. When seeking to identify harms, it is important to appreciate the context of interactions between individuals, companies, and governments—including the benefits provided by automated decision-making frameworks, and the fallibility of human decision-making.
How has the growing trend of global financial data localization laws affected financial institutions handling difficult questions of data privacy? What have been the practical impacts of these laws? FPF addresses these questions in a new info-graphic: “Financial Data Localization: Conflicts and Consequences.”
Today, FPF released a new Infographic: Microphones & the Internet of Things: Understanding Uses of Audio Sensors in Connected Devices (read the Press Release here). From Amazon Echos to Smart TVs, we are seeing more home devices integrate microphones, often to provide a voice user interface powered by cloud-based speech recognition.
Washington, DC – Today, the Future of Privacy Forum released an infographic, “Microphones & the Internet of Things: Understanding Uses of Audio Sensors in Connected Devices.” In order to enable the benefits of new voice-based services while protecting data privacy, this infographic attempts to explain the range of possible uses of microphones in connected devices.