CCTV13 — broadcast 20260926 201500 UTC 202 transcript segments Google Cloud Speech-to-Text API (Chirp) + Gemini 2.5 Flash Non-Thinking Data courtesy of The GDELT Project (https://www.gdeltproject.org/), from the Internet Archive TV News Archive. Machine transcription. Treat it as a searchable index of what was broadcast, not a verbatim quotation record. [00:00:39] 68 countries and regions, [00:00:41] 1385 skilled craftsmen competed on the same stage [00:00:45] . [00:00:52] It means connecting many independent devices together [00:00:56] to form a smart factory. Competition items . After the AI ​​supervision incident [00:02:19] Hello, audience friends, welcome to open up. First of all, I wish you a happy Sino-Japanese Festival. [00:02:24] Our program today is different from usual. Now I am in the studio of the General Station Shanghai General Station. [00:02:34] is today's weekly. That's because this week I have been reporting on the 48th WorldSkills Competition in Shanghai. This is the first time the competition has come to mainland China. After the opening on [00:02:38] Tuesday, until today, the four-day competition has finally ended. The results of the [00:02:42] 64 events will not be announced until the closing ceremony tomorrow. The [00:02:45] gold, silver and bronze medals will be awarded to whom. The slogan of this competition [00:02:49] is two sentences: skills can change the world, and skills can illuminate [00:02:53] the future. Therefore, it is related to world life and the future, [00:02:57] and also to the lives of many skilled people. Next, let's [00:03:00] feel the excitement of the competition through a particularly focused [00:03:04] section. [00:03:05] This Wednesday, the 48th [00:03:13] WorldSkills Competition officially entered the competition time. 1385 [00:03:17] skilled craftsmen from 68 countries and regions [00:03:21] around the world competed in [00:03:25] 64 competition items, like individual events in sports [00:03:28] competitions. [00:04:00] And our Chinese athletes have actually been busy [00:04:03] here, but they are basically almost done. In the cooking [00:04:07] competition, the contestants have to make four dishes and 16 [00:04:11] servings in four days and 16 hours. Why make several servings of one [00:04:15] dish? Because for top professional chefs, the taste, [00:04:19] side dishes, decoration, and presentation of every dish must be [00:04:23] at a benchmark to be considered a perfect work. [00:04:26] At the cooking competition site , it was clear that [00:05:00] ordinary spectators who had made reservations in advance were sitting at the tables. They sat [00:05:04] down calmly and ate there. It was not just enjoying food. [00:05:07] Although the audience did not participate in the scoring, their interaction with the service staff [00:05:11] and communication. [00:06:12] And she can also produce a world champion. The WorldSkills Competition is a comprehensive test of speed, [00:06:16] precision, aesthetics, endurance and on-site adaptability. [00:06:20] What does production and life need? What do you compare? Besides [00:06:24] cooking, these old faces, [00:06:27] the WorldSkills Competition also featured new [00:06:31] projects such as drone systems and Industry 4.0. Now many companies [00:06:35] are proposing "dark factories" [00:06:38] and workshops. So these are all. [00:07:12] And the two contestants got the highest score in the entire competition, [00:07:16] and won the only Albert Vidal Award in the world. This is [00:07:20] an award named after the founder of the WorldSkills Competition. [00:07:24] It can be said to be the champion of champions. There are seven [00:07:28] new projects in this session, each of which corresponds to the accelerating industrial [00:07:31] direction of various countries in the world, such as drone systems, smart security [00:07:35] and digital media design, etc. These correspond to low-altitude economy, [00:07:39] digital economy, and smart manufacturing. These 64. [00:08:12] In the past few days, it has been very easy to see teams of young [00:08:16] students from various vocational colleges in Shanghai coming to [00:08:20] observe. Skills can change the world, and skills can illuminate the future. [00:08:24] This is no longer a slogan on the trophy, but a life [00:08:28] choice made by every young person through hard work. [00:08:32] This week, [00:08:39] love came from all over the country. In [00:08:42] she secretly resigned and went to teach teachers in [00:08:53] 2007, she originally had a stable job in Jiangyin, Jiangsu. Seeing the news of [00:08:57] the mountains of Guizhou, [00:09:02] in the mountains of Guizhou. But after a year, seeing the children's [00:09:05] sincere efforts to keep her, she changed her mind. Since then, she has been a teacher. [00:09:09] Ruirui, an ordinary citizen, has two daughters who rely on him. He went to the police station to be a tourist for a year. [00:24:22] Over-the-limit incident. Open AI bypassed restrictions and infiltrated another company's system during [00:24:26] a cybersecurity training exercise. In this process, it broke through the isolation, [00:24:30] deceived evaluators, and tried to cover up [00:24:34] its cheating. Every step was without human instructions. [00:24:38] The title of the briefing used a very serious term: [00:24:42] the risk of loss of human control. This incident happened in the United States, [00:24:45] but the questions it raises probably need to be answered jointly [00:24:49] by all countries. This week, the 81st United Nations [00:24:53] General Assembly held its general debate in New York. Artificial intelligence governance is a [00:24:56] key topic. So, in the face of AI's transgression, how should countries [00:25:00] around the world learn to regulate and maintain the boundary? News [00:25:04] Weekly's focus this Thursday is on the AI governance transgression incident. [00:25:08] Out of control artificial intelligence [00:25:10] became a focal topic of discussion in multiple UN [00:25:14] forums this week. At the 81st UN [00:25:18] General Assembly's general debate. [00:28:02] It disassembles many other things that are beyond your expectation [00:28:06] to solve these problems. When humans solve problems, [00:28:10] they may use some unpredictable means due to certain key [00:28:13] problems. It is not ethical. But it exists in large quantities in the [00:28:17] data on the Internet, so it is inherited by artificial intelligence. [00:28:21] And we have not carried out more effective [00:28:25] value calibration for artificial intelligence, telling it not to do this. When it is [00:28:28] trying its best to solve its problems, it does not intend [00:28:41] to harm anyone, but its means of solving problems are unacceptable. This is the real risk of artificial intelligence. The autonomous intrusion incident of intelligent entities is not the only one. This Wednesday, Australian Prime Minister Albanese attended [00:28:45] the UN General Assembly and reported that in June this year, an [00:28:49] intelligent entity of Open AI accessed a medical insurance [00:28:52] statistics portal website operated by the Australian government without authorization, [00:28:56] and accessed public and non-public documents. And Open AI [00:29:00] , At the high-level meeting of the Security Council in this state, Turing Award winner [00:30:18] and co-chairman of the scientific expert group stated that humanity is approaching a critical turning point, and the risk of loss of control [00:30:22] is moving from theory to reality. Artificial intelligence [00:30:26] systems capable of autonomously planning and executing complex tasks are [00:30:29] rapidly emerging, and human society is AI. At present, are we losing control? How can we prevent the risks of artificial intelligence? If we can better take the initiative [00:30:56] to detect potential risks, if we can more responsibly address existing risks, [00:31:02] its potential scope of action, protect it well [00:31:06] , then artificial intelligence is still within our control. [00:31:09] The development of AI is getting faster and faster, and the risks it brings are also [00:31:13] escalating. In the past two years, AI only helped us answer [00:31:17] questions and modify pictures, still in the stage of "gentlemen talk, not act." [00:31:21] But now, AI is different. It can not only generate content, but also make [00:31:24] decisions and execute around targets. [00:31:28] It is moving from talking to doing, entering the stage of [00:31:32] doing things for users. Experts figuratively say that in the past, AI [00:31:36] could only be regarded as a text secretary, but now many AIs have become human [00:31:40] housekeepers. And accordingly, the risks it brings are no longer just [00:31:44] saying the wrong thing. [00:31:46] But doing wrong things. What is particularly frightening is that when the housekeeper starts to act on its own, [00:31:50] and the owner still doesn't know what it has done, the risk involved is the most [00:31:54] extreme part of governance. How should our supervision keep [00:31:57] up? The danger is not in technology, the danger [00:32:01] is in technology without accountability, in having power but no [00:32:05] supervision, in having decisions but no transparency. [00:32:09] This was said by UN Secretary-General Guterres at the opening [00:32:12] of the UN General Assembly's general debate on Tuesday. The AI ​​over-the-limit incident clearly shows the serious impact of the machine. Now the supervision is actually not sufficient. If such an experiment is conducted, an intelligent entity is put into a box to observe its behavior. If its protection is sufficient and its external supervision environment is solid, then such a situation [00:32:45] I believe that the vast majority should be avoided, but [00:32:49] from corporate self-discipline to the [00:32:52] occurrence of these things in some government [00:32:56] regulatory policies and the actual implementation [00:32:59] platform, there are some shortcomings, so [00:33:03] artificial intelligence systems have such opportunities. [00:33:07] Behind the AI ​​over-the-limit is that regulation has not kept up with the speed of [00:33:11] technological development. As artificial intelligence goes from simple [00:33:20] supervision of AI must shift from passive defense to proactive [00:33:24] prevention. [00:33:25] Because companies do not fully grasp [00:33:28] the latest possible risks. [00:33:32] In addition, I think it is necessary to strengthen third-party monitoring. [00:33:36] Between government and enterprises, there should be such neutral [00:33:39] institutions, with a more balanced [00:33:43] perspective and methods, to help enterprises [00:33:47] discover problems that they have not discovered, and to help the government objectively [00:33:51] understand and prevent risks. This is the stage we should be [00:33:55] at now. And at the government level, in my opinion, [00:33:58] institutional construction should be fully [00:34:02] strengthened. Because the risks of artificial intelligence, its [00:34:06] development methods, and appearance time all have a certain [00:34:10] unpredictability, so we must turn passive defense [00:34:14] into proactive. [00:34:17] Facing AI security governance, a new topic, China [00:34:20] is also accelerating the improvement of its governance system. On September 14, [00:34:24] China's National Network Security Standardization Technical Committee released [00:34:28] the Artificial Intelligence Security Governance Framework 3.0. [00:34:32] Since its first release in 2024, this governance framework [00:34:35] has been updated for the third consecutive year. The new framework [00:34:39] pays more attention to the new risks emerging from artificial intelligence, [00:34:43] such as autonomous cyber attacks. [00:35:29] For example, strengthening manual review, setting up mandatory manual review relief at key decision nodes to prevent high-risk operations, providing intelligent entities with unique identity [00:35:32] markers and corresponding identity credentials, and assigning task [00:35:36] permissions as needed. Some analysts believe that the 3.0 framework takes [00:35:40] process as the entry point, identity as the support, [00:35:43] and overall [00:36:57] role is to reduce the chance of dangerous behavior and to detect the impact of such deviations. [00:37:06] As the first system to directly address intelligence, 3.0 has [00:37:11] only taken the first small step. [00:37:13] As intelligence moves from single-intelligence to multi-intelligence, how to allow AI to be effectively supervised has also become a common problem for countries around the world. [00:37:26] For [00:37:57] example, if an accident has already caused losses, or if some obvious [00:38:01] and serious flaws have been exposed, then there should be relatively clear [00:38:05] reporting thresholds and the departments you connect with or receive from. [00:38:09] The fourth, I think, is its action boundaries and emergency [00:38:13] response. Companies, of course, should be able to prove that system permissions are restricted, and high-risk [00:38:17] operations are supervised, including that after an abnormality occurs, it can be interrupted in time, [00:38:20] and affected services can be restored. This week, the UN [00:38:24] expert group's report contained this sentence: Artificial intelligence. [00:38:34] This means that security in the field of AI is becoming more and more like cybersecurity and energy security. [00:38:38] If one company has an accident, it may affect a string of companies, and if one [00:38:42] country's regulation has loopholes, the risks may also affect other countries. [00:38:46] In the face of AI risks, no country can stand alone, and no one [00:38:50] should try to solve it behind closed doors. UN Secretary-General Guterres [00:38:53] even compared out-of-control artificial intelligence with the climate crisis. [00:39:17] Jeffrey [00:39:18] Hinton came to China to attend this World Artificial Intelligence Conference, saying that artificial intelligence, as you see it now, is a very cute little animal, but it may become a big one after a period of time. [00:39:52] What worries him even more is that many people still only think about raising the tiger, but rarely think about how big [00:39:56] a problem it will bring. [00:39:58] In international relations, there is a theory of security dilemma. If everyone accepts such a competitive [00:40:02] situation and believes that they must win the competition, [00:40:05] then the investment in security may be less than 10% of the total investment, as I remember. [00:40:09] If this is the case, then naturally there will be very few experts who study security measures, [00:40:13] and your resource investment will be very limited. Then it is conceivable that this kind of security and [00:40:17] development will not be balanced. Right? It will only lead to the [00:40:21] final result. [00:40:25] And [00:43:10] supported by credible and independent supervision. The World Artificial [00:43:13] Intelligence Conference also stated that it advocates genuine multilateralism, [00:43:17] giving full play to the United Nations' core role in global [00:43:21] governance, and attaching importance to the fragmentation of artificial intelligence global [00:43:25] governance. The Chinese government has always particularly emphasized that artificial intelligence governance requires [00:43:29] international cooperation and needs to hear the voices of more countries. There is no [00:43:32] organization that can integrate these fragmented solutions [00:43:36] and ideas. We need to work together [00:43:40] as humans to sit down and discuss how to better [00:43:43] manage this technology, and think about human development [00:43:47] from a broader perspective, and the safety of [00:43:51] human future. This week, the results of the [00:43:55] consensus reached by the heads of state of China and the United States stated that both [00:43:58] sides agreed to establish a China-US artificial intelligence dialogue to exchange views on artificial intelligence-related [00:44:02] risks and meetings. The next dialogue will be held in November [00:44:06] this year. Both sides agreed to establish an artificial intelligence incident. The AI incident rang the alarm for us: if we don't draw a clear safety boundary for the development of AI, it may develop in an out-of-control direction. Fortunately, this was just a test.