Focus on the development of digital civilization and build safe and trustworthy artificial intelligence

In today's world, digital technology is fully integrated into all fields and processes of human society, and artificial intelligence has become an important symbol of the progress of human civilization. At the same time, if digital technology loses its norms and constraints, it may become a "Pandora's box" and bring certain threats to real society. On June 26, the main forum of the Nishan Dialogue on Digital Civilization of the World Internet Conference was held in Qufu, Jining, Shandong, during which Chinese and foreign guests offered suggestions on the topic of "Building Secure and Trustworthy Artificial Intelligence".

Artificial intelligence will reshape the digital world

"The opportunity for AI is enormous. But as the global adoption of AI accelerates, it's important for governments and organizations to consider how best to use the technology for the benefit of people and the planet. Hong Yaozhuang, CEO of the Global System for Mobile Communications Association (GSMA), said that around the world, artificial intelligence is gradually emerging as a powerful force with the potential to change business and society.

Mohammed Ben Amo, Secretary-General of the Arab ICT Organization, said that AI has the revolutionary potential to influence and even change every aspect of life, driving innovation and making life easier. Examples include increasing efficiency through automation, providing accurate information to support informed decision-making, improving customer service and customer experience, and more.

Talking about the rapid development of artificial intelligence, Baidu founder, chairman and CEO Robin Li also felt deeply, he said that in the past year, artificial intelligence in technology, products, applications and other levels, with "week" as the iterative speed forward. The deep integration of the digital economy and the real economy driven by the big model will strengthen and optimize the real economy, create considerable incremental value, and bring profound changes in economic and social development and industry.

"The birth of this GPT large model represents the arrival of general artificial intelligence and strong artificial intelligence, and it is the emergence of real intelligence." Zhou Hongyi, founder of 360 Group, believes that the artificial intelligence big model has solved all natural language processing problems with a set of models and a set of algorithms, and has evolved from perception to cognition, able to understand words and language, make analysis and planning, and traditional algorithms will be replaced. In the future, in many important fields such as autonomous driving and robot control, large-language models will play a role.

Daniel Zhang, Chairman and CEO of Alibaba Group and Chairman and CEO of Alibaba Cloud Intelligent Group, said that recently, global technology companies have been competing for the general large model, pushing artificial intelligence to a new stage of development. He believes that the big model is accelerating the arrival of the intelligent era, and the real economy is the main battlefield of intelligence.

"We are witnessing the accelerated development of artificial intelligence." Bart Selman, former president of the Association for the Advancement of Artificial Intelligence and a professor at Cornell University, said that GPT-4 realizes the first form of general artificial intelligence, introduces a new entity that will inevitably change many existing social structures and mechanisms, and humans need to rethink the impact that artificial intelligence will bring.

The governance challenges posed by AI cannot be ignored

"We urgently need to develop and apply AI with a high degree of responsibility to ensure that it has a positive impact on society as a whole." Mohammed Ben Amo said that while enjoying the benefits of AI, it is important to recognize the many social and ethical challenges it presents, which need to be addressed from the beginning.

While the big model of artificial intelligence brings universal development opportunities for the development of human society, it will also bring many governance challenges, which cannot be ignored. Li Yanhong believes that the application of new technologies often precedes norms, and only by establishing and improving laws, regulations, institutional systems, and ethics to ensure the healthy development of artificial intelligence can we create a good innovation ecology. Focusing on the future, while paying attention to risk prevention, we should also establish fault tolerance and correction mechanisms at the same time, and strive to achieve a dynamic balance between standardization and development.

In Zhou Hongyi's view, the public large model has many shortcomings, such as lack of industry depth, easy to cause internal data leakage, inability to ensure the true credibility of content, and inability to enable enterprises to achieve controllable costs. He believes that the application of large models in enterprise-level scenarios should adhere to the "auxiliary mode". If the GPT large model wants to achieve "safe and controllable", the key lies in whether the enterprise can really control it, and let people's will play a key role in the entire decision-making loop.

At present, the global competition for artificial intelligence has entered a white heat. In this scenario, Daniel Zhang said that everyone wants to make a difference in it, but the ethical issues of technology in related fields still need to be clarified, and it is also important to wear safe brakes while pressing the accelerator. "The evolution of AI technology must conform to social norms and bring more beauty to mankind. While pursuing technological advancement, we must adhere to our sense of social responsibility. ”

"Building safe and trustworthy artificial intelligence" has gradually become an industry consensus

Walter Faume, chairman of the European Committee for Standardization and the Joint Technical Committee on Cybersecurity and Data Protection of the European Committee for Electrotechnical Standardization, said that for AI standardization to be successful, there needs to be a common definition of AI vocabulary between countries, which will promote a common understanding of safe and trusted AI.

Enterprise-level scenarios need to create a proprietary large model that is "secure, trusted, controllable, and easy to use". So how to create such a proprietary large model? Zhou Hongyi said that several principles need to be adhered to: security principles, enterprise-level applications must be a large model of security; The principle of trustworthiness to solve the shortcomings of the accuracy and real-time performance of large models; The principle of controllability should position the large model in auxiliary tools to ensure that people are on the loop; The principle of ease of use, solving the problem of ease of use requires "digital assistants with souls"; The principle of inclusiveness makes the big model a productivity tool that everyone can use.

There are many uncertainties in innovation, some of which can be predicted in the foresight and prevented before they occur; Some problems arise in the course of development, and they need to be solved while developing and solved with development. Daniel Zhang said that "building safe and credible artificial intelligence" has gradually become an industry consensus, and relevant laws and regulations have been gradually improved, which has cultivated a good soil and environment for the sustainable development of technology and industry.

Artificial intelligence will lead a new wave of technological innovation, 5G mobile communications, industrial Internet, big data, artificial intelligence and other digital technologies have changed the way people produce and live. Liu Liehong, chairman of China United Network Communications Group Co., Ltd., said that enabling everyone to share the dividends and achievements of digital civilization development is the goal of the whole society.

Mohammed Ben Amo believes that the future of AI is promising, and that safe and trusted AI should be built around five aspects: privacy, transparency, responsibility and accountability, robustness and resilience. In addition, ethical frameworks should be established and human well-being should be prioritized through human-centered design, contributing to the continued development of safe and trusted AI. (Guangming Network reporter Li Fei Lei Mixin)

Source: Guangming Web