Cover News Reporter Ouyang Hongyu Recently, the 6th World Intelligence Conference was held in the cloud. The conference proposed that artificial intelligence is expected to promote intelligent innovation of all elements of economic and social development, release development divi

2024/05/0706:03:33 technology 1239
Cover News Reporter Ouyang Hongyu Recently, the 6th World Intelligence Conference was held in the cloud. The conference proposed that artificial intelligence is expected to promote intelligent innovation of all elements of economic and social development, release development divi - DayDayNews

cover news reporter Ouyang Hongyu

Recently, the 6th World Intelligence Conference was held in the cloud. The conference proposed that artificial intelligence is expected to promote the intelligent innovation of all elements of economic and social development, release development dividends, and empower a better future. Since the first year of artificial intelligence development in 1956, AI technology has gone through 66 years. At what stage is the relationship between AI and humans today? How will AI further develop and evolve?

Recently, Pan and Lin, co-directors and researchers of the Digital Economy and Financial Innovation Research Center of the International Business School of Zhejiang University, said that mankind is entering a stage of "data-AI self-evolution and self-governance". Humanity's discussion of artificial intelligence , it may no longer be a question of whether it can be accepted, but a question of how to get along with artificial intelligence.

In the digital age, artificial intelligence is playing an increasingly important role. Data shows that the scale of my country's core artificial intelligence industry exceeds 400 billion yuan, with more than 3,000 companies, and has widely penetrated into all aspects of people's daily production and life.

Pan and Lin mentioned that artificial intelligence is an important driving force for improving current productivity and total factor productivity . It can return to solving the essential problems of productivity gaps and shortages and improve the productivity of the entire society. “In the past, we often said that ‘two fists are no match for four hands’, and artificial intelligence, as one of the most important tools for mankind, is like equipping mankind with countless arms, and is more accurate and capable than human hands, making human beings Production efficiency has been greatly improved, and individual output has also been greatly improved. "

With the further development of information technology, it has entered the stage of self-evolution of artificial intelligence. Recently, the Central Committee for Deepening Reform reviewed and approved the "Opinions on Building a Data Infrastructure System to Better Play the Role of Data Elements". Data, as a new factor of production, has been raised to an unprecedented policy level.

In this regard, Pan Helin interpreted that the bottom layer of artificial intelligence is actually data. Big data completes data accumulation through continuous collection, cleaning, conversion and other processes. The function of artificial intelligence is inseparable from the support of these data operations. On the other hand, artificial intelligence can in turn act on data generation and circulation, collect interactive data, and then use these data to strengthen the evolution of artificial intelligence technology and achieve self-improvement, upgrade and innovation.

"Under the guidance of artificial intelligence, data governance concepts and governance methods are constantly innovating and improving. Artificial intelligence is both a tool and an object of data governance." When it comes to AI self-governance, Pan Helin believes that, AI is driving the improvement of the intelligence level of data governance, and is making all-round innovation and breakthroughs in governance tools and methods. It is moving from the original closed, one-way governance system to a more open and multiple intelligence, and is dynamically adjusted and fed back based on data characteristics and user needs. , thereby achieving self-updation and optimization.

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