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What We're Reading: Artificial Intelligence
[…] to see how bias could pose risks. Self-driving cars use AI, not unlike facial recognition, for detecting pedestrians. We don’t want cars to be more likely to get into accidents with people that have longer hair, darker skin, or shorter stature. Safety shouldn’t be contingent on how you look. AI and Education How to […]
California’s AB-1395 Highlights the Challenges of Regulating Voice Recognition
[…] does not take any of these approaches, but instead creates an “all or nothing” framework for data retention. Most consumers probably want something in between–the ability to get the benefits of voice personalization (for example, if they themselves have a strong accent or unusual speech pattern), and perhaps support product improvement, but with easier, […]
Ethical and Privacy Protective Academic Research and Corporate Data
[…] and Innovation Foundation to undertake both projects. The Alliance will support data sharing efforts under way, help address and mitigate challenges that create barriers to sharing and promote practices that encourage more data sharing between industry and academic researchers. So far, more than 25 prominent companies are participating in the Alliance’s activities. In its […]
NAI’s 2020 Code of Conduct Expands Self-Regulation for Ad Tech Providers
[…] not only to go beyond existing laws in addressing consumer privacy concerns, but also to help shape evolving legislative efforts. We are glad to see that the NAI is taking major steps in the right direction in order to continue to be on the front lines of protecting consumer privacy and promoting responsible business practices.
A Conversation with FPF's Gabriela Zanfir-Fortuna
[…] to researching how data protection law interacts with civil liability. So I had an academic and regulatory background when I moved to the U.S. How did you get involved with FPF? After I moved to the U.S., I participated in an event organized by FPF and the Goethe-Institut in Washington DC on Understanding EU Law, […]
Protected: Protected: Future of Privacy Forum's 2019 Annual Meeting
There is no excerpt because this is a protected post.
Fairness, Ethics, & Privacy in Tech: A Discussion with Chanda Marlowe
[…] to work on much more, including location and ad practices, the Internet of Things, and algorithmic fairness. So now I follow those issues closely and I really get into the granular details, like what does it mean to be compliant when the legal landscape is constantly changing with GDPR, state laws, and federal legislation. […]
Privacy Book Club
[…] The Science of Socially Aware Algorithm Design by Michael Kearns and Aaron Roth Watch the Discussion Book Discussion 9: Race After Technology: Abolitionist Tools for the New Jim Code by Ruha Benjamin Watch the Discussion Book Discussion 10: The Twenty-Six Words That Created the Internet by Jeff Kosseff Watch the Discussion Book Discussion 11: Privacy […]
CPDP 2019 Panel: Understanding the limits and benefits of data portability
[…] in privacy governance? Joris Van Hoboken, Professor of Law at Vrije Universiteit Brussels, began with a general remark that data portability is a way for individuals to get control over and value from their personal data. However, as he emphasized, a lot of data is very social in nature and many times involves other […]
Smart Communities: A Conversation with Kelsey Finch
[…] Part of my job, both as the leader of our smart cities work and our de-identification work, is to help cities evaluate these kinds of risks and get access to new tools in order to serve the public interest in an ethical, privacy-conscious way. An equally important but less visible issue is ensuring that […]