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  • 科技行业联手进步人工智能研讨可控性
  • 日期:2016-10-09   点击:次   字体:[ ]

A handful of the most powerful US tech companies have promised to bring more control and openness to the development of artificial intelligence, in an attempt to stem growing worries about a technology seen as destroying jobs, increasing income inequality and even threatening the future of humanity.


The plans by the companies, including Google, Microsoft and Facebook, amounted to what one member of the group said was the first time an industry had ever banded together to shape the impact of a technology that had such a broad effect on the future of humanity.


AI is on the cusp of transforming society and the consequences of this have to be studied in the open, said Yann LeCun, head of AI at Facebook and one of the pioneers of deep learning, the technique that has propelled recent breakthroughs in the field.

Facebook人工智能主管扬?莱库(Yann LeCun)表现:人工智能行将改动整个社会,必需地下研讨这种改动的结果。

It will transform the way we connect with each other, the way we get information, medicine, transport, the way cities are organised.


The companies, which also include Amazon and IBM, announced a non-profit, called the Partnership on Artificial Intelligence to Benefit People and Society, to carry out the work.

这些企业还包罗了亚马逊(Amazon)和IBM。它们宣布建立一个名为人工智能造福人类和社汇合作构造(Partnership on Artificial Intelligence to Benefit People and Society)的非红利机构,以展开这项任务。

It will conduct research into ethical questions about how AI affects society at large, and develop ways to make the new technology more transparent and understandable.


However, the biggest impetus behind the initiative has been the growing public and government worries about how such a powerful new technology will affect many aspects of life.


Eric Horvitz, an AI researcher at Microsoft, said the technology was at an inflection point, and that challenges were becoming clear.

微软人工智能研讨职员埃里克?霍维茨(Eric Horvitz)表现,该技能是个转机点,相干应战正浮出水面。

These include the hidden biases in algorithms that make implicit assumptions after being trained with specific sets of data; questions about the safety and trustworthiness of systems that often take decisions for reasons even their own programmers cannot understand; and ethical judgments that are embedded in systems to influence how they interact with humans in given situations.


The Microsoft researcher said the group had looked back through the history of science, to the introduction of sweeping new technologies such as electricity and human flight, and not found any precedents for the industry-wide effort.


He also denied that there was an explicit attempt in the notion of self-regulation to repel government intrusion in the field.


Instead, he said the industry research should be welcomed by governments, which often find it hard to understand the impact of such technologies.


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