What are the three major problems facing the development of AI industry?

1, the commercialization ability of AI needs to be proved.

The most famous artificial intelligence startups are "CV Four Beasts", that is, four unicorn companies focusing on machine vision technology services: Shang Tang, Defiance, Yi Tu and Congyun. In 2020, the IPO of Hong Kong stocks was unsuccessful, and in March 12, science and technology innovation board was sprinted again; Not long ago, the IPO of Yi Tu and voice AI company Yunzhisheng collapsed, and many AI companies encountered obstacles in listing. The core reason is that their commercialization ability needs to be proved.

2.AI talent shortage still needs to be alleviated.

In the past few years, the rapid outbreak of AI has led to a shortage of AI talents. There was a lot of news before that the company recruited AI graduates and AI experts in high-priced universities with an annual salary of one million. Later, the state attached importance to AI education, universities set up AI majors, and Industry-University-Research trained AI talents. To some extent, it solved the problem of shortage of AI talents. Only Baidu claimed to have trained 6.5438+0 million AI talents for the industry; Ubisoft claims that in more than 40 countries around the world, about 1.5 million students learn artificial intelligence through Ubisoft.

However, the supply of AI talents still can't keep up with the process of AI industrialization, and the supply of AI talents is still in short supply in the new decade.

High-end AI talents are still scarce. According to the statistics of the think tank under the Paulson Foundation, by the end of 20 19, nearly 60% of the top AI talents in the world had settled in the United States, and the top AI talents who received undergraduate education in China accounted for the highest proportion, reaching 29%. In other words, many China AI talents stay in the United States after going abroad for further study, resulting in a shortage of local high-end AI talents in China. China is a big AI country, but according to LinkedIn big data, China's top artificial intelligence talents only rank sixth.

There is also a lack of AI talents in the segmentation field. For example, in the field of service robots, the shortage of AI talents is even more severe, because this is a complex system involving multiple disciplines, and manufacturers need a large number of compound technical talents, market talents and product talents; Application scenarios require talents who understand service robots and artificial intelligence. However, there are too few compound R&D talents and applied talents, which directly restricts product R&D and industrial application.

3. The ethical issues of artificial intelligence have become urgent.

The emergence of AI applications such as face changing and classroom monitoring based on face recognition makes people realize that human beings are not fully prepared for the outbreak of AI technology.

Any technology is a double-edged sword, and AI is no exception. AI technology will facilitate online fraud and make "fraud" easier and more difficult to distinguish; AI technology will make many people unemployed, especially repetitive jobs, such as cashiers, customer service, monitoring and software testing engineers; The ai algorithm is trained by people, and people's prejudices will be inherited by AI, such as gender discrimination, racial discrimination and geographical discrimination; AI technology is mastered by hackers, and the hacker's attack methods will be fully upgraded.

With the explosive growth of visible and tangible artificial intelligence applications such as service robots and driverless cars, artificial intelligence ethics has become more important. Service robots may collide with people or the environment when serving human beings. How to divide responsibilities? How to divide the responsibility when an unmanned vehicle has an accident on the road? Many problems remain to be solved. We can't limit the development of AI because of choking on food, only AI ethics and regulations are combined.