第四次工业革命与算法:政策设计的新挑战

Tanya Heikkila, A. Wellstead
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引用次数: 0

摘要

自本世纪初以来,人工智能、区块链、大数据、自动驾驶汽车和基因编辑等颠覆性技术已经改变了人们生活的经济和社会结构。一些人将这些变化通俗地称为第四次工业革命。这导致了一系列新出现的政策问题,主要集中在三个政策领域:道德、安全和研究与发展。与早期关注信息技术应用的数字政策文献不同,本章探讨了作为这些技术基础的算法的作用。在本章中,我们提出了算法策略设计的关键相关考虑因素。首先,协同设计和助推是两种应用于算法政策设计的新兴工具。第二,协作和学习是核心过程。最后,我们强调了两个重要的政策设计产出:信任和公共价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fourth Industrial Revolution and Algorithms: New Challenges for Policy Design
Since the beginning of this century, ‘disruptive technologies, such as artificial intelligence, blockchain, big data, autonomous vehicles, and genetic editing, have transformed the economic and social fabric of peoples’ lives. Some colloquially refer to these changes as the 4th industrial revolution. This has led to a wide range of emerging policy issues centered on three policy areas: ethics, security, and research and development. Unlike the earlier digital policy literature that was focused on the application of informational technology, this chapter explores the role of algorithms that underlie these technologies. In this chapter, we raise key-related considerations for algorithmic policy design. First, codesign and nudging are two emerging tools applied in algorithmic policy design. Second, collaboration and learning are central processes. Finally, we highlight two important policy design outputs: trust and public value.
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