Exploring the Relevance of Data Privacy-Enhancing Technologies for AI Governance Use Cases. (arXiv:2303.08956v1 [cs.AI])

Web: http://arxiv.org/abs/2303.08956

The development of privacy-enhancing technologies has made immense progress
in reducing trade-offs between privacy and performance in data exchange and
analysis. Similar tools for structured transparency could be useful for AI
governance by offering capabilities such as external scrutiny, auditing, and
source verification. It is useful to view these different AI governance
objectives as a system of information flows in order to avoid partial solutions
and significant gaps in governance, as there may be significant overlap in the
software stacks …

cases data data privacy governance privacy technologies use cases