Performant Privacy
Performant Privacy
The evolution of the requirements for effective data protection can be tied to the definition of the word “Privacy” as referring to “the ability of an individual or group to seclude themselves or information about themselves, and thereby express themselves selectively.” However, the ability to seclude information about individuals or groups is increasingly difficult in modern data environments where there is exploding access to readily available data for sharing and computing among parties.
The unauthorized re-identification of individuals resulting from combining multiple data sets for analysis did not present a challenge prior to the widespread emergence and ready networked access to computers and data. The combination of these capabilities has, in time, made ready networked access to multiple data sources and the resulting unauthorized reidentification of individuals relatively easy. This is because, with this ready access to data, individuals can be more easily re-identified via the "Mosaic Effect,"[1] which occurs when multiple data sets are combined to identify individuals within the data sets, even if they were anonymized within each individual data set.
These changes in circumstances and the impact on the reidentification risk for individuals and groups is highlighted by:
• February 2023 statements by U.S. FTC Commissioners[2] reminding people that the HIPAA (the U.S. Health Insurance Portability and Accountability Act) is not a privacy law but rather a data portability law, which technology experts believe has not kept pace with technological advances and associated privacy risks.
• March 2023 adoption by the U.S. White House Office of Science and Technology Policy of a “National Strategy to Advance Privacy-Preserving Data Sharing and Analytics”[3] to stimulate "responsible scientific research and innovation" to develop Privacy-Preserving Data Sharing and Analytics technology to minimize the "risk of harm to individuals and society arising from data sharing and analytics."
• September 2023 hearings on a U.S. Senate bi-partisan framework for risk-based regulation of AI,[4] including warnings by a noted legal expert that Congress should “steer clear of half measures and industry-led approaches like ‘encouraging transparency, mitigating bias, and promoting principles of ethics’ without also implementing means to enforce liability and other important regulatory mechanisms.”
• Anticipated early 2024 approval of the EU Artificial Intelligence Act[5] requiring quantifiable and auditable technical risk mitigation safeguards, expected by many to establish the global standards for the regulation of AI - much as the EU General Data Protection Regulation (GDPR) has been for the regulation of data protection.
The word “performant,” when applied to computing technology, means “characterized by a high or excellent level of performance or efficiency” or “working in an effective way.”[6]
References
- ↑ "Exploring the Mosaic Effect on HDX Datasets". The Centre for Humanitarian Data. Retrieved 25 September 2023.
- ↑ "Statement of Commissioner Alvaro M. Bedoya Joined by Commissioner Rebecca Kelly Slaughter Regarding Amazon.com, Inc.'s Acquisition of 1Life Healthcare, Inc" (PDF). U.S. Federal Trade Commission (FTC). Retrieved 25 September 2023.
- ↑ "National Strategy to Advance Privacy-Preserving Data Sharing And Analytics - A Report By The Fast-Track Action Committee on Advancing Privacy-Preserving Data Sharing and Analytics - Networking and Information Technology Research and Development Subcommittee of the National Science And Technology Council" (PDF). U.S. White House. Retrieved 25 September 2023.
- ↑ "Microsoft President and Nvidia Chief Scientist Testify in Senate AI Hearings". The Guardian. Retrieved 25 September 2023.
- ↑ "Contentious Areas in the EU AI Act Trilogues". International Association of Privacy Professionals. Retrieved 25 September 2023.
- ↑ "Performant". Cambridge Dictionary. Retrieved 25 September 2023.
This article "Performant Privacy" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Performant Privacy. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
