Protected: Future of Privacy Forum's 2019 Annual Meeting
There is no excerpt because this is a protected post.
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.
FPF 10th Anniversary Sponsorship and Support
Sponsorship Packages Leadership Sponsor $25,000 • Recognition as Leadership Sponsor in promotions and media • Recognition as Leadership Sponsor in onsite materials and anniversary website • Recognition by FPF leadership from the podium • Includes five tickets to event Event Sponsor $10,000 • Recognition as Event Sponsor in onsite materials and anniversary website • Includes […]
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.
From cross-border transfers to privacy engineering, check out all panels and events FPF will be a part of at CPDP2018
Computers Privacy and Data Protection conference (CPDP) kicks off this week in Brussels, and the theme this year is “The Internet of Bodies”. The conference will gather 400 speakers for 80 panels to set the stage for the privacy and data protection conversation in Europe for 2018. And this is such an important year for data protection – not only the General Data Protection Regulation becomes applicable in May, but also the text of the new ePrivacy Regulation will likely be finalized.
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.”
Location Controls in iOS 11 Highlight the Role of Platforms
From Pokémon Go, to the geo-targeting of abortion clinics, to state legislative efforts, the last year has seen significant attention paid to the many ways our apps use and often share location data. In the midst of this heightened awareness of geo-location privacy, iPhone users and app developers may notice a difference this Fall, when Apple will be releasing updates to iOS 11 that will increase users’ control over how their geo-location may be collected and used. The changes highlight the ongoing importance—and legal implications—of platform settings for consumer privacy.