Bill Gates on AI: rise of the machines would have two trouble-Bill Gates, AI-IT information

Today, Bill Gates told reporters in an interview at the Code Conference, when asked questions about artificial intelligence, he said its artificial intelligence (AI) 's rise was very excited, but at the same time, when machines surpass humans in ability, and brings many challenges.

After many years of exposure to the field of speech recognition and computer vision, Gates said the robots within the next ten years will be good and competent driving and warehouse management and so on, in addition, in some specific area of knowledge, the robot will also complete the transcendence of the human.

However, he thinks the rise of machines will also have two big problems.

First, the robot will be the new labour force, many traditional jobs will gradually die out. Gates believes this will be an opportunity for vocational training is vigorous and, in addition, the robot appears to improve people's living standards, early retirement and vacation will be possible in the future. In addition, on the whole, people don't have to worry about their jobs were taken by robots.

Second, humans to ensure the absolute control of the robot. Gates had previously mentioned the issue, he would like to work with experts in the field to engage in a long talk, discusses how to secure the advancement of mankind.

In addition, he had to recommend a couple of books, including Nick Bostrom in the Super intelligent work and Pedro Domingos of the main algorithm (machine learning).

比尔盖茨谈AI：机器的崛起会带来两个大麻烦 - 比尔盖茨,AI - IT资讯

今天，比尔·盖茨在Code Conference上接受了记者的专访，在被问到有关人工智能的问题时，盖茨表示它对人工智能（AI）的崛起感到非常激动，但同时，若机器在能力上一举超越人类，必然会带来许多挑战。

在语音识别和计算机视觉领域浸淫多年后，盖茨表示未来十年内机器人就能良好的胜任驾驶和仓库管理等工作，此外，在某些特定的知识领域，机器人也将完成对人类的超越。

不过，他认为机器的崛起也会带来两大问题。

首先，机器人将会成为新的劳动力大军，许多传统的工作岗位将会逐渐消亡。盖茨认为这将成为职业培训行业蓬勃发展的良机，此外，机器人的出现提高了人们的生活水平，提早退休和休假未来将会成为可能。另外，从整体来看，人们不必过度担心自己的饭碗被机器人抢走。

其次，人类要保证对机器人的绝对控制权。盖茨此前就提到过这一问题，他希望能与该领域的专家进行一场详谈，探讨如何稳固人类的地位。

此外，他还给大家推荐了几本书，包括Nick Bostrom在超级智能方面的著作和Pedro Domingos的《主算法》（关于机器学习）。