A new framework for global data regulation
Ellie Graeden, David Rosado, Tess Stevens, Mallory Knodel, Rachele, Hendricks-Sturrup, Andrew Reiskind, Ashley Bennett, John Leitner, Paul Lekas,, Michelle DeMooy

TL;DR
This paper proposes a context-based regulatory framework for data protection that links regulations to outcomes and human rights, rather than specific data or tools, enhancing flexibility and effectiveness.
Contribution
It introduces a novel outcome-oriented regulation approach that aligns legal protections with actual use cases and human rights, supported by practical testing in open banking and contact tracing.
Findings
Framework effectively addresses diverse human rights.
Applicable privacy-enhancing technologies demonstrated.
Flexible policy approach aligns with engineering practices.
Abstract
Under the current regulatory framework for data protections, the protection of human rights writ large and the corresponding outcomes are regulated largely independently from the data and tools that both threaten those rights and are needed to protect them. This separation between tools and the outcomes they generate risks overregulation of the data and tools themselves when not linked to sensitive use cases. In parallel, separation risks under-regulation if the data can be collected and processed under a less-restrictive framework, but used to drive an outcome that requires additional sensitivity and restrictions. A new approach is needed to support differential protections based on the genuinely high-risk use cases within each sector. Here, we propose a regulatory framework designed to apply not to specific data or tools themselves, but to the outcomes and rights that are linked to…
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Taxonomy
TopicsPrivacy-Preserving Technologies in Data · Privacy, Security, and Data Protection · Law, AI, and Intellectual Property
