人工智能的风险并非我们所想的那样，最近中美之间发生的一起安全事件揭示了这一点。在充斥着关于超级智能机器将导致人类灭绝的警告新闻中，CNN的一篇报道描述了截然相反的情况——美国军方对脆弱聊天机器人的依赖差点让美国卷入与中国的战争——这却几乎没有引起公众的注意。
The risks of AI aren’t what we think they are, as a recent security incident between China and the United States reveals Amid a barrage of news stories warning about superintelligent machines rendering humanity extinct, a CNN story describing the opposite scenario – one in which the US military’s reliance on brittle chatbots almost brought the US into war with China – went mostly unnoticed by the public.
过去三周国际人工智能界最大的新闻是Anthropic工程师Jacob Coxon的辞职。据他称，OpenAI和Anthropic正在“直奔自我改进的超级智能，并拿我们的生命在赌博”。Coxon对“终结者”场景的描述，即机器变得比人类聪明得多并决定消灭我们，吸引了公众、记者和政客的注意，引发了阵阵令人恐惧、轻信的报道和政策行动。
The biggest international AI news of the past three weeks was Anthropic engineer Jacob Coxon’s resignation. According to him, OpenAI and Anthropic are “racing straight towards self-improving superintelligence and gambling with our lives”. Coxon’s description of a “terminator” scenario, a machine becoming much smarter than humanity and deciding to wipe us out, captured the public, journalists’ and politicians’ attention, stirring waves of fear-inducing, credulous reporting, and policy actions.
Timnit Gebru是Dair的执行董事，也是即将出版的《深度去学习：一位技术理想主义者的激进主义》（Deep Unlearning: The Radicalization of a Tech Idealist）一书的作者，该书现已开放预购，定于2月16日出版。
Timnit Gebru is executive director of Dair and author of the forthcoming book Deep Unlearning: The Radicalization of a Tech Idealist, which is available for preorders now and set to publish on 16 February.
Emily M Bender是华盛顿大学的语言学教授，也是《人工智能骗局》（The AI Con）一书的合著者。
Emily M Bender is professor of linguistics at the University of Washington and co-author of The AI Con.