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arXiv:2012.08347cs.CR

Beyond Privacy Trade-offs with Structured Transparency

Andrew Trask, Emma Bluemke, Teddy Collins, Ben Garfinkel Eric Drexler, Claudia Ghezzou Cuervas-Mons, Iason Gabriel, Allan Dafoe, William Isaac

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Abstract

Successful collaboration involves sharing information. However, parties may disagree on how the information they need to share should be used. We argue that many of these concerns reduce to 'the copy problem': once a bit of information is copied and shared, the sender can no longer control how the recipient uses it. From the perspective of each collaborator, this presents a dilemma that can inhibit collaboration. The copy problem is often amplified by three related problems which we term the bundling, edit, and recursive enforcement problems. We find that while the copy problem is not solvable, aspects of these amplifying problems have been addressed in a variety of disconnected fields. We observe that combining these efforts could improve the governability of information flows and thereby incentivise collaboration. We propose a five-part framework which groups these efforts into specific capabilities and offers a foundation for their integration into an overarching vision we call "structured transparency". We conclude by surveying an array of use-cases that illustrate the structured transparency principles and their related capabilities.

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DOI
Subjects
cs.CRCryptography and Security cs.CYComputers and Society

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  1. Machine Unlearning in 2024 1 comment
    • You seem to be focusing a lot on remembering or forgetting consequences. Yes, ensuring models know enough about the world to only cause the consequences they desire is a good way for models to not create random harm. This is probably a good thing. However, there are many other…

      williamtraskView on HNParent context

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