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This Year’s Must-Read Privacy Papers to be Honored at Washington, D.C. Event
The Future of Privacy Forum’s 14th Annual Privacy Papers for Policymakers Award Recognizes Influential Privacy Research Today, the Future of Privacy Forum (FPF) — a global non-profit focused on data protection headquartered in Washington, D.C. — announced the winners of its 14th annual Privacy Papers for Policymakers (PPPM) Awards. The PPPM Awards recognize leading U.S. […]

14th Annual Privacy Papers for Policymakers
FPF is excited to announce the 14th Annual Privacy Papers for Policymakers winners and in-person award ceremony! The award recognizes leading privacy scholarship that is relevant to policymakers in the U.S. Congress, at U.S. federal agencies, and international data protection authorities. Washington, D.C. – U.S. Capitol Visitor’s Center, Room SVC- 201-00

Spectrum of AI Report
[…] exploits the connections that the computer identifies, largely independently. 28 Semi-supervised learning is in between these, when the system uses a small set of labeled ex – amples and learns from those while also evaluating and analyzing the unlabeled parts of the same dataset. Just as humans can learn to perform new tasks simulta […]

FPF-AIEcosystem-Report-Jun23-R4-Digital
[…] exploits the connections that the computer identifies, largely independently. 28 Semi-supervised learning is in between these, when the system uses a small set of labeled ex – amples and learns from those while also evaluating and analyzing the unlabeled parts of the same dataset. Just as humans can learn to perform new tasks simulta […]

Understanding Extended Reality Technology & Data Flows: XR Functions
[…] user’s head-mounted display (HMD). This allows the user’s “hands” to interact with virtual content. For example, MR or VR maintenance training could allow a mechanic to practice repairing a virtual car engine before performing these actions in the real world. Gesture-based controls utilize ML models, specifically deep learning, to construct 3D copies of the […]

The “Colorado Effect?” Status Check on Colorado’s Privacy Rulemaking
[…] Privacy Forum recommended that consumer opt out rights still apply in situations where the human review of a profiling decision amounts to little more than a “ rubber stamp.” 6. Miscellaneous Topics Given the Attorney General’s broad rulemaking authority, any CPA topic is theoretically on the table for rulemaking, even if not specifically addressed […]

consumerguide (1)
[…] retrieved by physically inserting a compatible device into the port. This port enables access to information that can help service technicians measure emissions, diagnose performance issues, or repair your vehicle. Owners may also choose to plug in a third-party device (or dongle) into the OBD-II port in some vehicles to collect or share information […]

FPF Samsara White Paper
[…] on AD AS technologies, 24 with savings generated through lower insurance premiums, 25 reductions in legal claims, improved driver retention, 26 lower operating costs, and improved vehicle repair and maintenance. 27 C. Technological Advancements in Cloud Computing and Artificial Intelligen ce Have Improved ADAS Functionality and Effectiveness ADAS technologies are not new. Indeed, features […]

FPF ADM Report R2 singles
[…] factors in making the final decisions,” then that ADM is not “based solely” on automated processing. Furthмer, controllers cannot avoid Article 22 by having a human merely rubber-stamp machine-based decмisions, without actual authority or competence to alter their outcome. 19 By contrast, if the automated process at hand merely provides input for a decision […]