It Depends on Young People to Answer the “Questions of the Era” Regarding Artificial Intelligence
Date: 2020-11-02
Source: Wen Wei Po
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“How will quantum computing affect artificial intelligence (AI)?” “How can we trust machine learning algorithms?” “Is there a roadmap for the development of AI for universal application?” At the WLF Youth Forum Artificial Intelligence Session II  held yesterday, the AI experts seemed a bit unable to cope with the confusion and questions of young scientists, and from time to time they replied that it relied on you young people to make the exploration.

These questions regarding the development of artificial intelligence in the next few decades require continuous exploration generation after generation. Facing the future, young people need to take on more responsibilities as pioneers, and answer the “questions of the era” regarding artificial intelligence from multiple perspectives such as technological development and social ethics.

New breakthroughs from algorithms to applications continue to emerge 

The robotic arm made of special materials is no longer limited to grabbing clumsy industrial parts, but can gently pick up a piece of tofu or pudding. This is the “flexible robot” brought to the audience by Yeo Joo Chuan, Associate Professor of Department of Biomedical Engineering at National University of Singapore. In addition to applications in the food industry, the flexible materials can be made into smart gloves to help patients restore finger functions.

Chen Kai, Associate Professor of Department of Computer Science and Engineering at the Hong Kong University of Science and Technology, proposed a unique way to address the issues about data islands and privacy protection, thus improving computing acceleration capability and creating a safer information environment. Professor Chen Haibo from School of Software at Shanghai Jiao Tong University pointed out that it is necessary to build a native operating system to solve problems such as information delays and data heterogeneity for the increasingly intelligent and complex AI Internet of Things.

Incorporating all kinds of data of life sciences and R&D of new drugs into the scope of machine learning through the development of algorithms; trying to break the boundaries between different types of data to understand human intentions; using AI data analysis to find missing laws of physics... The results brought by young AI scientists deeply impressed the industry leaders on the other side of the screen. They asked the young scientists to send the papers to them several times, and kindly recommended their colleagues for the young scientists to collaborate with according to their research directions.

Firmly keeping in mind the principle of “putting people first” all the time

Regarded as a sign of the arrival of the era of strong artificial intelligence, general AI is one of the hot topics in the industry in recent years.

The supporters of general AI include Manuel Blum, 1995 Turing Award Recipient, and his wife Lenore Blum, Academician of the National Academy of Sciences. They believe that human brain is a typical general intelligence platform, “human brain can be regarded as a stage where actors and audiences can interact with each other through questions and answers, and attract more audiences to participate.” Facilitated by cognitive neuroscience models, general AI will become a new trend.

Its opponents include Raj Reddy, 1994 Turing Award Recipient. He believes that each field can develop special artificial intelligence like the pieces of tools that people use now. We use them according to our needs, which is enough. In his view, the attempt to develop “omniscient and omnipotent artificial intelligence” is creating panic for humans, “the thought of being replaced by AI makes many people scared.” Obviously, as a powerful helper for humans, special AI is only a tool, unable to develop in the direction of obtaining self-awareness. Only in this way can humans be reassured.

Regarding the question what is the most important criterion in application of AI, Qi Chongchong, Professor at the School of Resources and Safety Engineering of Central South University, thought the answer would be convenience and accuracy, but the answer given by Martin Herman, 2015 Turing Award Recipient, was compliance with social ethics. “Technology can give us powerful capabilities, and social and ethical development must keep up with technological development,” he emphasized that people must realize that as a species, humans need to become more mature, otherwise they will destroy themselves. Anyway, it depends on young people to make all the explorations. (Reporter: Xu Qimin)