技术如何改变世界,世界又该如何改变技术?

Josephine Wolff
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引用次数: 2

摘要

技术变得越来越复杂,相互联系也越来越紧密。汽车、飞机、医疗设备、金融交易和电力系统都比以往任何时候都更依赖于计算机软件,这使得它们看起来既难以理解,在某些情况下也更难控制。政府和企业对个人和信息处理的监控在很大程度上依赖于数字技术和人工智能,因此人与人之间的接触比以往任何时候都少,偏见有更多的机会以我们甚至无法识别或认识的方式嵌入和编纂在我们的技术系统中。生物工程的进步为人类与自然关系的哲学、政治和经济问题的挑战开辟了新的领域。此外,这些大大小小的设备和系统的管理越来越多地通过云来完成,因此对它们的控制既非常遥远,又远离了人类或社会的直接控制。如何使人工智能或物联网等技术“可解释”的研究已经成为其自己的研究领域,因为很难理解它们是如何工作的,或者当出现问题时是什么出了问题(Gunning and Aha 2019)。这种日益增长的复杂性使得学者们比以往任何时候都更加困难,也比以往任何时候都更有必要探索技术进步如何以积极和消极的方式改变世界各地的生活,以及需要什么样的社会、政治和法律工具来帮助塑造技术的发展和设计,使其朝着有益的方向发展。考虑到技术变革的快速步伐和其持续发展不可避免的感觉,这似乎是一项不可能完成的任务,但世界上许多国家才刚刚开始采取重大步骤来规范计算机技术,并且仍在从根本上重新思考管理全球数据流动和技术跨境交换的规则。这不仅是技术发展的激动时刻,也是技术政策的激动时刻——我们的技术可能比以往任何时候都更加先进和复杂,但我们对如何最好地利用、保护甚至约束它们的理解也同样如此。技术系统的结构主要由政府和机构政策决定,这些结构对社会组织和机构有着巨大的影响,从高度分散和分散的开源开放系统,到严格控制和封闭的系统,根据更严格和更分层的模型构建。正如我们对技术治理的理解正在以新的有趣的方式发展一样,我们对新兴技术的社会、文化、环境和政治层面的理解也在不断发展。我们正在意识到挑战和重要性,我们需要绘制出技术改变我们社会的所有方式,我们希望这些变化是什么样子,以及我们需要什么工具来影响和引导这些变化。
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How Is Technology Changing the World, and How Should the World Change Technology?
Technologies are becoming increasingly complicated and increasingly interconnected. Cars, airplanes, medical devices, financial transactions, and electricity systems all rely on more computer software than they ever have before, making them seem both harder to understand and, in some cases, harder to control. Government and corporate surveillance of individuals and information processing relies largely on digital technologies and artificial intelligence, and therefore involves less human-to-human contact than ever before and more opportunities for biases to be embedded and codified in our technological systems in ways we may not even be able to identify or recognize. Bioengineering advances are opening up new terrain for challenging philosophical, political, and economic questions regarding human-natural relations. Additionally, the management of these large and small devices and systems is increasingly done through the cloud, so that control over them is both very remote and removed from direct human or social control. The study of how to make technologies like artificial intelligence or the Internet of Things “explainable” has become its own area of research because it is so difficult to understand how they work or what is at fault when something goes wrong (Gunning and Aha 2019). This growing complexity makes it more difficult than ever—and more imperative than ever—for scholars to probe how technological advancements are altering life around the world in both positive and negative ways and what social, political, and legal tools are needed to help shape the development and design of technology in beneficial directions. This can seem like an impossible task in light of the rapid pace of technological change and the sense that its continued advancement is inevitable, but many countries around the world are only just beginning to take significant steps toward regulating computer technologies and are still in the process of radically rethinking the rules governing global data flows and exchange of technology across borders. These are exciting times not just for technological development but also for technology policy—our technologies may be more advanced and complicated than ever but so, too, are our understandings of how they can best be leveraged, protected, and even constrained. The structures of technological systems as determined largely by government and institutional policies and those structures have tremendous implications for social organization and agency, ranging from open source, open systems that are highly distributed and decentralized, to those that are tightly controlled and closed, structured according to stricter and more hierarchical models. And just as our understanding of the governance of technology is developing in new and interesting ways, so, too, is our understanding of the social, cultural, environmental, and political dimensions of emerging technologies. We are realizing both the challenges and the importance of mapping out the full range of ways that technology is changing our society, what we want those changes to look like, and what tools we have to try to influence and guide those shifts.
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