观点人工智能

Inside the mind of Big AI

When you can no longer be certain what your machines aren’t capable of, it may be time to start worrying

Is the day approaching when computers start to learn tricks they weren’t designed to handle? Or develop deceptive behaviours that are hard to see through? Or come to truly “understand” the information they’re working on, raising philosophical questions about the boundaries between human and machine?

Serious AI researchers have long argued that questions such as these raise unreal expectations about their field and should stay in the realm of science fiction. Today’s AI systems, we are told, are boring number-crunchers, churning through massive data sets to draw their inferences.

So what happens when the researchers themselves suggest that these sci-fi storylines are no longer as far fetched as they once sounded?

您已阅读15%(719字),剩余85%(4086字)包含更多重要信息,订阅以继续探索完整内容,并享受更多专属服务。
版权声明:本文版权归manbetx20客户端下载 所有,未经允许任何单位或个人不得转载,复制或以任何其他方式使用本文全部或部分,侵权必究。
设置字号×
最小
较小
默认
较大
最大
分享×