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Google AI Leader: AI Development Needs to Work with Global Government

via:新浪科技     time:2018/5/9 12:47:50     readed:664

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"Obviously, technology companies have a lot of knowledge in these areas. We can provide our suggestions and views on the future direction of technology. Moreover, I think you will hope that the government will treat the future technology in a prudent way, for example, five or ten years later. Such a dialogue is very helpful. "

On Tuesday, Google held the yearDevelopmentThe general assembly. At the conference, the company announced the integration of artificial intelligence from writing mail to all aspects of computer chips.

Meanwhile, in Washington, according to the Washington Post, the Donald Trump administration is planning an artificial intelligence summit with representatives from Google.AmazonFacebook, Intel and 34 other major US companies.

Dean joined Google in 1999, when the company had only 25 employees. In 2012, Dean was in charge of the Google Brain project, focusing on artificial intelligence. Google's top executives, including Pichai and Sergey Brin, have long viewed artificial intelligence as the company's future.

But AI critics also warn that AI has the potential to replace human work. In response, Dean retorted that Google actually wanted to use this technology to improve human productivity and experience.

"We hope that users will be more efficient and save time to deal with relatively simple transactions, such as e-mail. Smart people can stand behind you and look at your screen and guess what you are going to write about in the mail. And we hope that the system can be that smart person to help you do these things. Dean said.

Dean says there are many places where regulators and technicians can cooperate, especially in the field of medical health, which is a "benefit to the world".

Google's technology is discovering new things and new types that doctors don't realize in the current naked eye data, such as clues to the discovery of heart health from retinal scans.

"The field of health care is very complex, for many reasons: compared with other industries, the regulation of the medical field is more stringent," Dean said. "Of course you want to deploy such a system in a safe and orderly way. But I think it is also important to bring these benefits as soon as possible. It's early in fashion. But I think that machine learning really begins to deal with practical problems is a relatively new phenomenon, but in the future, there will be more and more such phenomena in medical health and other industries. "

"The underlying technology itself is neutral."

The huge amount of information on the Internet has caused great waves in Silicon Valley, especially the discussion of "fake news", interference in general elections and offensive content.

Dean said that in Google, mankind is still the ultimate arbiter to determine whether the content is offensive.

"This is obviously a difficult problem, because in the face of so much information, it is obvious that human beings can not fully examine every piece of information. So you will inevitably need such a symbiotic relationship between intelligent machine learning algorithms and other types of systems.

According to reports, Google's internal staff also hold different opinions on the technology provided by the company to improve the targeting of UAV.

"The key is to figure out what we want the machine to learn to do," Dean said. "As a company, we will discuss what we should do. I also believe that we are publishing open source tools... Other kinds of uses that other people will bring will be excellent, but there must be some things we do not want to see or want. This is technology. The underlying technology itself is actually neutral. The problem is how people use technology and how to make decisions.

Nadella, chief executive of Microsoft, said this week that the ethics of AI, privacy and security led Microsoft's cloud technology to be ahead of Google.

"Microsoft has a lot of overlap with Google," Dean said. "They also have search engines (Bing), as well as advertising revenue, and so on. Obviously, we earn more from advertising. In my view, what cloud computing customers really care about is whether their problems can be solved through a cloud product provided by a supplier. In this regard, I think we have great advantages. " (wood)

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