为什么以及如何监管新兴技术

K. LaGrandeur
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引用次数: 0

摘要

我的演讲将集中于我们的智能技术的发展——意图使我们的生活更容易——如何带来了许多危险的后果,需要更仔细的监管。在给出一些具体的迫在眉睫的危险的例子之后,我的演讲将通过建议开发商,行业和政府可以采取的多种监管途径来结束,这些途径可能有助于减轻不受监管的新兴技术的危险后果。基于人工智能的新技术具有巨大的积极潜力,但也受到滥用的例子之一是脑机接口(BCI)。它的新形式为医学治疗带来了巨大的希望:它已被成功地用于帮助控制极端严重的帕金森病、癫痫、强迫症和抑郁症。然而,它也被用在危险的地方。在中国,一些企业通过强迫员工在工作时戴上装有传感器的帽子来监控员工大脑中的数据;这些传感器阵列可以扫描他们的脑电波,寻找情绪障碍,并将数据发送给企业管理层运行的人工智能。在杭州中恒电厂(Hangzhou Zhongheng Electric factory)这样的企业中,管理层将这些数据输入算法,让人工智能建议如何管理这些联网的工人,比如调整“生产节奏和重新设计工作流程”[1]。因此,人类已经从运行机器变成了让机器运行他们。这种情况远不是孤立的。我将进一步讨论这方面的例子,以及新兴技术给我们的社会结构带来的其他双重影响。然后,我将描述我们可以更好地监管它的具体方法,以减少我们的智能技术对我们的健康造成危害的危险
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Why and how to regulate emerging technology
My presentation will focus on how our development of intelligent technology—intended to make our lives easier—has brought along with its advantages numerous hazardous consequences that call for more careful regulation. After giving some examples of specific looming hazards, my presentation will conclude by suggesting multiple avenues for regulation that developers, industry, and government can take that may work to mitigate dangerous consequences of unregulated emerging technology.One of the examples of new AI-based technology that has some great positive potential, but which is also subject to abuse is Brain Computer Interface (BCI). The newer forms of it hold great promise for medical therapy: it has been used with some success to help control extremely severe forms of Parkinson’s disease, epilepsy, obsessive compulsive disorder, and depression. However, it also has been used in dangerous ways. In China, some businesses are monitoring data from employees’ brains by forcing them to wear caps outfitted with sensors while they work; these sensor arrays can scan their brainwaves for emotional disturbances and send that data to AI run by corporate management. At one such business, the Hangzhou Zhongheng Electric factory, the management feeds that data into algorithms that allow AI to recommend how to manage these wired-up human workers, such as adjusting “the pace of production and redesign[ing] workflows” [1]. Thus, humans have gone from running machines to having machines run them. This scenario is far from isolated. I will discuss further examples of this and other double-sided effects to our social fabric posed by emerging technology. Then I will delineate specific ways we can better regulate it to reduce the danger that our smart technology becomes hazardous to our wellbeing
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