同态加密，安全的多方計算和差異性隐私是新興的隐私增強技術類别的一部分，它們具有一個共同的承諾：在保護隐私的同時還可以獲得計算分析的好處。由于它們相對新穎、複雜和不透明，這些技術引發了設計和治理方面的各種新問題。我們采訪了參與部署的研究人員、開發人員、行業上司者、決策者和設計師，以探讨采用的動機、期望、感覺的機會和的障礙。這為這些技術的采用所面臨的幾個相關挑戰提供了深入的見解，包括：它們如何使像隐私這樣的模糊概念在計算上易于處理；如何使它們更适合開發人員使用；以及如何解釋它們并使之對利益相關者和更廣泛的社會負責。我們總結了這些隐私保護計算技術的開發、部署和負責任治理将産生的影響。
原文題目：Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation
原文：Homomorphic encryption, secure multi-party computation, and differential privacy are part of an emerging class of Privacy Enhancing Technologies which share a common promise: to preserve privacy whilst also obtaining the benefits of computational analysis. Due to their relative novelty, complexity, and opacity, these technologies provoke a variety of novel questions for design and governance. We interviewed researchers, developers, industry leaders, policymakers, and designers involved in their deployment to explore motivations, expectations, perceived opportunities and barriers to adoption. This provided insight into several pertinent challenges facing the adoption of these technologies, including: how they might make a nebulous concept like privacy computationally tractable; how to make them more usable by developers; and how they could be explained and made accountable to stakeholders and wider society. We conclude with implications for the development, deployment, and responsible governance of these privacy-preserving computation techniques.
原文作者：Nitin Agrawal, Reuben Binns, Max Van Kleek, Kim Laine, Nigel Shadbolt
原文位址：https://arxiv.org/abs/2101.08048
探索隐私保護計算開發中的設計和治理挑戰（CS HC）.pdf