Donate to Fund an FPF Fellowship Today
Despite demand for privacy experts at mid and senior levels, it continues to be difficult for young professionals to start a career in this area, and even harder for students without the resources to take low paying internships. And with bias and discrimination playing such a central role in data protection today, the privacy community […]
Policy Manager – Education Privacy Team
About Us The Future of Privacy Forum (FPF) is a non-profit organization that serves as a catalyst for privacy leadership and scholarship, advancing principled data practices in support of emerging technologies. The Education Privacy team convenes stakeholders to ensure the responsible use of education technology and management of student data, creates resources and runs the […]
Artificial Intelligence: Privacy Promise or Peril?
Understanding AI and its underlying algorithmic processes presents new challenges for privacy officers and others responsible for data governance in companies ranging from retailers to cloud service providers. In the absence of targeted legal or regulatory obligations, AI poses new ethical and practical challenges for companies that strive to maximize consumer benefits while preventing potential harms.
Empirical Research in the Internet of Things, Mobile Privacy, and Digital Advertising
In the world of consumer privacy, including the Internet of Things (IoT), mobile data, and advertising technologies (“Ad Tech”), it can often be difficult to measure real-world impact and conceptualize individual harms and benefits. Fortunately, academic researchers are increasingly focusing on these issues, leading to impressive scholarship from institutions such as the Princeton Center for Information Technology Policy (CITP), Carnegie Mellon University School of Computer Science, UC Berkeley School of Information, and many others, including non-profits and think tanks.
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.
Privacy Scholarship Research Reporter: Issue 3, December 2017 – 2017 Privacy Papers for Policymakers Award Winners
Notes from FPF On December 12, 2017, FPF announced the winners of our 8th Annual Privacy Papers for Policymakers (PPPM) Award. This Award recognizes leading privacy scholarship that is relevant to policymakers in the United States Congress, at U.S. federal agencies, and for data protection authorities abroad. In this special issue of the Scholarship Reporter, you […]
Privacy Papers 2017
The winners of the 2017 PPPM Award are: Artificial Intelligence Policy: A Primer and Roadmap by Ryan Calo, Associate Professor of Law, University of Washington Abstract: Talk of artificial intelligence is everywhere. People marvel at the capacity of machines to translate any language and master any game. Others condemn the use of secret algorithms to […]
FPF-CAN Speaker Series featuring Mary Madden and Michele Gilman
The FPF-Capital Area Academic Network invites you to join us for a roundtable discussion featuring Mary Madden (Researcher, Data & Society Institute) and Michele Gilman (Venable Professor of Law and Director of Clinical Education, University of Baltimore School of Law). Mary and Michele will discuss their latest research: “Privacy, Poverty and Big Data: A Matrix of Vulnerabilities for Poor Americans.”
The Top 10: Student Privacy News (June – July 2017)
The Future of Privacy Forum tracks student privacy news very closely, and shares relevant news stories with our newsletter subscribers. Approximately every month, we post “The Top 10,” a blog with our top student privacy stories.
Consumer Genetic Testing: Beginning to Assess Privacy Practices
Genetic testing is becoming more widely available to consumers; such testing can be an exciting new opportunity to help individuals flesh out family histories, discover cultural connections, and learn about their personal backgrounds. The availability of low-cost genetic sequencing and analysis has led to numerous businesses offering a variety of services, including some that provide detailed health and wellness reports that explain how genetics can influence risks for certain diseases. The enthusiastic public response demonstrates that there is great demand for this knowledge.