建立负责任的数据经济

D. Song
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引用次数: 0

摘要

数据是现代经济和人工智能/机器学习的关键驱动力,然而,许多数据是敏感的,处理敏感数据给个人和企业带来了前所未有的挑战。随着我们进入数字时代,这些挑战只会变得更加严峻。在这次演讲中,我将讨论负责任的数据使用所需的技术,包括安全计算、差分隐私、联合学习,以及数据权利的区块链技术,以及如何将隐私计算技术和区块链结合起来,为负责任的数据经济建立一个平台。以更负责任的方式使用数据,最大限度地提高社会福利和经济效率,同时保护用户的数据权利,并使数据创造的价值得到公平分配。我还将讨论这种方法支持的新范式,包括分散的数据科学和数据DAO。我还将讨论有关数据评估的新框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Building a Responsible Data Economy
Data is a key driver of modern economy and AI/machine learning, however, a lot of this data is sensitive and handling the sensitive data has caused unprecedented challenges for both individuals and businesses. These challenges will only get more severe as we move forward in the digital era. In this talk, I will talk about technologies needed for responsible data use including secure computing, differential privacy, federated learning, as well as blockchain technologies for data rights, and how to combine privacy computing technologies and blockchain to building a platform for a responsible data economy, to enable more responsible use of data that maximizes social welfare & economic efficiency while protecting users' data rights and enable fair distribution of value created from data. I will also talk about new paradigms that this approach enables including decentralized data science and data DAO. I will also discuss new frameworks on data valuation.
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