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Protected: FPF Training Program 2024 – Main (Menal Draft)
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Unveiling China’s Generative AI Regulation
Authors: Yirong Sun and Jingxian Zeng The following is a guest post to the FPF blog by Yirong Sun, research fellow at the New York University School of Law Guarini Institute for Global Legal Studies at NYU School of Law: Global Law & Tech and Jingxian Zeng, research fellow at the University of Hong Kong […]
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UPDATE: China’s Car Privacy and Security Regulation is Effective on October 1, 2021
On August 20, 2021, the Cyberspace Administration of China (CAC) released an updated regulation on car privacy and data security that comes into force on October 1, 2021.
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AI and Machine Learning: Leading Academic Publications
Leading academics around the world are focused on the ethical, theoretical, and practical challenges that AI and ML pose – whether in commercial, social, or legal settings – and considering everything from biased algorithms to robot rights. Here is a collectionof many of the leading papers with summaries of their themes * Organized by date […]
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How the FTC Became a "Super CNIL"
By Winston Maxwell European data protection authorities are quick to remind citizens and companies that the U.S. lacks adequate protection of personal data. Many Europeans therefore assume that the U.S. is a privacy no-man’s-land. Yet on July 24, 2019 the FTC levied a privacy fine against Facebook that is far above GDPR levels, and imposed […]
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As Legislators Debate Ad Tech, Browsers and Operating Systems Announce New Technical Controls
Congress continues to hold data privacy hearings, including yesterday’s Understanding the Digital Advertising Ecosystem and the Impact of Data Privacy and Competition Policy. The continued debate over adtech practices is reaching a crescendo, making the case for quick action on a comprehensive federal privacy law that can set parameters for how personal data is collected, […]
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Facebook and Cambridge Analytica: Statement by Jules Polonetsky, FPF CEO
We are pleased to see Facebook’s response, but are looking forward to understanding how to best address the broader issues for all stakeholders. These issues are important to discuss – they are not going away.
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Privacy Scholarship Reporter – Issue 2
Artificial Intelligence and Machine Learning: The Privacy Challenge by FPF Staff Building on our first issue, which discussed the various privacy challenges related to algorithmic accountability, Future of Privacy Forum’s Privacy Scholarship Reporter now turns its focus to thoughtful, academic considerations of the privacy challenges, and ethical data use considerations, of AI and Machine Learning. […]
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Privacy Scholarship Research Reporter: Issue 2, July 2017 – Artificial Intelligence and Machine Learning: The Privacy Challenge
Notes from FPF Building on our first issue, which discussed the various privacy challenges related to algorithmic accountability, Future of Privacy Forum’s Privacy Scholarship Reporter now turns its focus to thoughtful, academic considerations of the privacy challenges, and ethical data use considerations, of AI and Machine Learning. Artificial Intelligence is perhaps easier to intuitively grasp […]
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Kids, Connected Toys and Devices, and Privacy
At FPF, we recognize the benefits that connected home technologies can provide to individuals, families, and kids. We also know that privacy issues can make or break adoption of connected home tech – particularly questions about whether kids’ privacy and security are sufficiently safeguarded. Families are using voice controlled devices to search the web, play games, and order products.