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Increased Surveillance is Not an Effective Response to Mass Violence

By Sara Collins and Anisha Reddy This week, Senator Cornyn introduced the RESPONSE Act, an omnibus bill meant to reduce violent crimes, with a particular focus on mass shootings. The bill has several components, including provisions that would have significant implications for how sensitive student data is collected, used, and shared. The most troubling part […]

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Personal Data and the Organization: Stewardship and Strategy

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 range of data inputs, the broad scope of risks and benefits, and how privacy and ethics are at the center of an organization’s ability to fulfill […]

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Municipal Leaders Joining Network to Advance Civic Data Privacy

Connected technologies and always-on data flows are helping make today’s cities and communities more livable, productive, and equitable. At the same time, these technologies raise concerns about individual privacy, autonomy, freedom of choice, and institutional discrimination. How do we leverage the benefits of a data-rich society while giving members of our community the confidence of […]

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FPF Release: The Privacy Expert’s Guide to AI And Machine Learning

Today, FPF announces the release of The Privacy Expert’s Guide to AI and Machine Learning. This guide explains the technological basics of AI and ML systems at a level of understanding useful for non-programmers, and addresses certain privacy challenges associated with the implementation of new and existing ML-based products and services.

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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.

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Taming The Golem: Challenges of Ethical Algorithmic Decision-Making

This article examines the potential for bias and discrimination in automated algorithmic decision-making. As a group of commentators recently asserted, “[t]he accountability mechanisms and legal standards that govern such decision processes have not kept pace with technology.” Yet this article rejects an approach that depicts every algorithmic process as a “black box” that is inevitably plagued by bias and potential injustice.