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[…] (NWS, 2012) Note that even if we assume the data intruder could incur the inordinate costs of purchasing a more complete population register for the U.S. from commercial sources rather than using voter registration data, this one-in-2,500 Safe Harbor possible re-identification risk estimate continues to fall in this “should I really worry about me […]

[…] Social Media and Online Profiles: Publicly visible information on platforms like Facebook, Twitter/X, LinkedIn, IMDb, personal blogs, forums, etc., containing names, locations, interests, connections, activities, and opinions. Commercial Data Brokers: Companies that aggregate and sell detailed profiles on individuals, compiled from diverse sources including purchasing history, online behavior, demographics, financial information, etc. Other Breached […]

[…] AI ACT CONFORMITY ASSESSMENT GUIDE | 2 DISCLAIMER: Copyright © 2025 Future of Privacy Forum and OneTrust LLC. Please contact Future of Privacy Forum or OneTrust for questions about commercial use of this publication.The contents of this document are subject to revision without notice due to continued progress in methodology, design, and manufacturing. OneTrust LLC and […]

[…] problem may also inhibit third parties from providing information about their models. 29 Third parties may not willingly provide information about their AI models and systems for commercial and proprietary reasons too. A model developer or the specific employee interacting with an organization (e.g., business, sales, and lawyers who do not work on AI […]

[…] problem may also inhibit third parties from providing information about their models. 29 Third parties may not willingly provide information about their AI models and systems for commercial and proprietary reasons too. A model developer or the specific employee interacting with an organization (e.g., business, sales, and lawyers who do not work on AI […]

[…] problem may also inhibit third parties from providing information about their models. 29 Third parties may not willingly provide information about their AI models and systems for commercial and proprietary reasons too. A model developer or the specific employee interacting with an organization (e.g., business, sales, and lawyers who do not work on AI […]

[…] purposes for processing the personal data is academic research. However, these requirements may limit the value of this provision where a generative AI is trained for solely commercial purposes. A detailed summary of relevant provisions in the data protection laws of the 5 jurisdictions is presented in the table below. Jurisdiction Summary of Relevant […]

[…] purposes for processing the personal data is academic research. However, these requirements may limit the value of this provision where a generative AI is trained for solely commercial purposes. A detailed summary of relevant provisions in the data protection laws of the 5 jurisdictions is presented in the table below . Jurisdiction Summary of […]

[…] purposes for processing the personal data is academic research. However, these requirements may limit the value of this provision where a generative AI is trained for solely commercial purposes. A detailed summary of relevant provisions in the data protection laws of the 5 jurisdictions is presented in the table below . Jurisdiction Summary of […]

[…] and processing of personal information. They also present novel technical challenges related to testing and human oversight, for organizations seeking to develop or deploy AI agents in commercial settings.  Specifically, this Issue Brief explores:  Part 1: Definitions. While agents are not new, emerging definitions across industries describe them as AI systems that are capable […]