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[…] Future of Privacy Forum (FPF) analyzed a diverse sample of data sharing partnerships between companies and academic researchers and produced a series of case studies distilling our findings. We learned that there is broad consensus regarding the potential benefits of industry/academic data sharing partnerships, including the acceleration of socially beneficial research, enhanced reproducibility of […]

[…] Future of Privacy Forum (FPF) analyzed a diverse sample of data sharing partnerships between companies and academic researchers and produced a series of case studies distilling our findings. We learned that there is broad consensus regarding the potential benefits of industry/academic data sharing partnerships, including the acceleration of socially beneficial research, enhanced reproducibility of […]

[…] Future of Privacy Forum (FPF) analyzed a diverse sample of data sharing partnerships between companies and academic researchers and produced a series of case studies distilling our findings. We learned that there is broad consensus regarding the potential benefits of industry/academic data sharing partnerships, including the acceleration of socially beneficial research, enhanced reproducibility of […]

[…] Future of Privacy Forum (FPF) analyzed a diverse sample of data sharing partnerships between companies and academic researchers and produced a series of case studies distilling our findings. We learned that there is broad consensus regarding the potential benefits of industry/academic data sharing partnerships, including the acceleration of socially beneficial research, enhanced reproducibility of […]

[…] to explore novel ideas or methods. In disciplines forced to rely on a limited set of open data, it’s challenging to find an idea or method that someone else hasn’t already published about. Until there is more open data for researchers to work with, corporate data sharing offers the best chance for those researchers […]

[…] algorithmic designs that are generally consid – ered to be examples of Symbolic AI, including Search, Planning and Scheduling, and Expert Systems. When computers are programmed to find a specific pat – tern in a set of symbols and then to perform a designated action, we can say that the AI is engaged in […]

[…] counsel at FPF and author of the checklist. “Employee use of generative AI tools is inevitable and may bring new and unexpected benefits to employers as employees find ways to be more productive and creative in even the most mundane tasks. Developing thoughtful generative AI policies is essential to ensure you’re well prepared for […]

[…] determine where a user was looking—whether on the screen, the road, or in the store—but did not identify the individual. Instead, these technologies made inferences about whether someone may be cheating, not paying attention to the road, or what product they were looking at. Plaintiffs in these cases argue that eye-tracking is part of […]

[…] algorithmic designs that are generally consid – ered to be examples of Symbolic AI, including Search, Planning and Scheduling, and Expert Systems. When computers are programmed to find a specific pat – tern in a set of symbols and then to perform a designated action, we can say that the AI is engaged in […]