{"id":92827,"topic":"ai","source":"The Conversation","title":"US tech leaders are urgently calling for rules on AI – China already has them - The Conversation","url":"https://theconversation.com/us-tech-leaders-are-urgently-calling-for-rules-on-ai-china-already-has-them-292965","url_hash":"bb8cd705277bfe978dfcc4fc45f93252e6c398e9","author":"","summary":"US tech leaders are urgently calling for rules on AI – China already has them The Conversation","content":"Recent warnings from American AI leaders have created the impression that the world is only beginning to confront the dangers of advanced artificial intelligence.\nDario Amodei, chief executive of tech company Anthropic, has called for governments to intervene to slow the development of increasingly powerful AI models.\nHis proposal begins with independent evaluators embedded inside AI companies, moves on to regulation and progresses to government-backed coordination among democratic states.\nUltimately, it seeks global agreements with China on testing of AI systems, dangerous applications of the technology and the pace of AI development.\nYet there is a China-shaped hole in this narrative. The Asian superpower is portrayed as the difficult final participant in a governance system that the US and its allies must first create.\nIn fact, China has already established an extensive system of AI rules, assessment, filing, technical standards and government oversight. Here’s how China’s AI governance system has developed in stages alongside the technology itself.\nBeijing’s 2022 rules on algorithmic recommendation services apply to technologies that select, rank, filter or recommend online content to users.\nThey compel companies that use algorithms to examine how they work, to protect the personal information of users, to give users certain controls, and to introduce safeguards for workers, consumers, children and older people.\nChina’s deep synthesis provisions, effective from January 2023, extended regulation to synthetic (or AI-generated) text, images, audio and video. AI companies must authenticate users, protect data, keep relevant records, assess their systems and identify synthetic material that could be mistaken for authentic content.\nThe interim measures for generative artificial intelligence services were introduced in August 2023. These added rules for public-facing generative AI, particularly those that can influence public opinion or persuade uses in other ways.\nThe measures apply to the legality and quality of training data, users’ personal information, intellectual property and discrimination based on protected characteristics. The rules also cover transparency by AI companies and the accuracy and reliability of products.\nUnder the rules, companies must address problems found in their services. These services must undergo a security assessment to examine their risks and compliance with Chinese legislation. The companies must also file information about their algorithms with Chinese authorities.\nThese mechanisms are not identical to the independent evaluators that would be embedded in AI companies, as has been proposed by Amodei. But they perform some of the same functions.\nFrontier risks\nBeijing’s latest set of measures is called the AI safety governance framework 3.0, published in September 2026. It sets out a broad approach to identifying, grading and responding to risks throughout the lifecycle of AI systems.\nBuilding on earlier versions, the framework covers AI model and data risks, vulnerabilities in open source models (those which can be freely modified by users), AI’s effects on employment and society and increasingly autonomous systems.\nIt includes a dedicated mechanism for managing risks associated with rapidly developing AI agents (systems that carry out tasks in response to instructions by a user).\nThe framework addresses some of the same dangers now generating alarm in Silicon Valley, including highly autonomous systems, the misuse of chemical, biological and nuclear technologies, and the possibility of humans losing control of advanced AI. It proposes continual safety evaluations, risk based safeguards, humans being in charge, and emergency intervention mechanisms.\nAn independent analysis by the US Carnegie Endowment for International Peace thinktank has described the framework as China’s attempt to “to advance frontier safety without the need for heavy handed regulatory interventions”.\nLegal consequences\nNone of this means that Chinese AI rules should be transplanted elsewhere. Its institutions, regulatory traditions and technological priorities are different.\nMany functions now presented as urgent aspirations in the US, including evaluation, accountability for AI companies, risk classification for AI systems, regulatory filing, technical standards and government oversight are already embedded in the governance architecture of the world’s other AI superpower.\nThe US is free to conclude that a market-led system best serves its economic and strategic interests. The Trump administration has favoured a “minimally burdensome” national approach to AI and has sought to limit more demanding state-level regulation.\nBut a market-led model cannot mean privatising the rewards of AI while exporting its risks. US companies may capture the commercial gains, while governments elsewhere are left to investigate security incidents, protect public systems and absorb the wider costs when those technologies fail. The OpenAI agent that gained unauthorised access to Australia’s state healthcare service shows how AI risks are being exported.\nIf Washington rejects extensive controls before systems are released, the US needs a credible legal regime for assessing who is liable for damage caused by those AI models. Otherwise, countries dependent on foreign AI systems will face increasingly difficult choices about whose technology to trust, and on what terms.\nSilicon Valley’s governing ethos has long been to “move fast and break things”. That was always a questionable principle for technologies woven deeply into public life. It is untenable for companies whose own leaders now warn that their products could cause catastrophic harm.\nBeijing has already surrounded its AI sector with public obligations, regulatory oversight and an evolving framework of risk assessment. A global debate that treats such governance as a future aspiration should at least recognise that one country is already ahead of the curve.","image_url":"https://images.theconversation.com/files/762719/original/file-20260929-50-azua6z.jpg?ixlib=rb-4.1.1&rect=0%2C343%2C6391%2C3195&q=45&auto=format&w=1356&h=668&fit=crop","lang":"en","published_at":"2026-09-29T13:08:58+00:00","fetched_at":"2026-09-29T14:15:04+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"Recent warnings from American AI leaders have created the impression that the world is only beginning to confront the dangers of advanced artificial intelligence. 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The Asian superpower is portrayed as the difficult final participant in a governance system that the US and its allies must first create.\nIn fact, China has already established an extensive system of AI rules, assessment, filing, technical standards and government oversight. Here’s how China’s AI governance system has developed in stages alongside the technology itself.\nBeijing’s 2022 rules on algorithmic recommendation services apply to technologies that select, rank, filter or recommend online content to users.\nThey compel companies that use algorithms to examine how they work, to protect the personal information of users, to give users certain controls, and to introduce safeguards for workers, consumers, children and older people.\nChina’s deep synthesis provisions, effective from January 2023, extended regulation to synthetic (or AI-generated) text, images, audio and video. AI companies must authenticate users, protect data, keep relevant records, assess their systems and identify synthetic material that could be mistaken for authentic content.\nThe interim measures for generative artificial intelligence services were introduced in August 2023. These added rules for public-facing generative AI, particularly those that can influence public opinion or persuade uses in other ways.\nThe measures apply to the legality and quality of training data, users’ personal information, intellectual property and discrimination based on protected characteristics. The rules also cover transparency by AI companies and the accuracy and reliability of products.\nUnder the rules, companies must address problems found in their services. These services must undergo a security assessment to examine their risks and compliance with Chinese legislation. The companies must also file information about their algorithms with Chinese authorities.\nThese mechanisms are not identical to the independent evaluators that would be embedded in AI companies, as has been proposed by Amodei. But they perform some of the same functions.\nFrontier risks\nBeijing’s latest set of measures is called the AI safety governance framework 3.0, published in September 2026. It sets out a broad approach to identifying, grading and responding to risks throughout the lifecycle of AI systems.\nBuilding on earlier versions, the framework covers AI model and data risks, vulnerabilities in open source models (those which can be freely modified by users), AI’s effects on employment and society and increasingly autonomous systems.\nIt includes a dedicated mechanism for managing risks associated with rapidly developing AI agents (systems that carry out tasks in response to instructions by a user).\nThe framework addresses some of the same dangers now generating alarm in Silicon Valley, including highly autonomous systems, the misuse of chemical, biological and nuclear technologies, and the possibility of humans losing control of advanced AI. It proposes continual safety evaluations, risk based safeguards, humans being in charge, and emergency intervention mechanisms.\nAn independent analysis by the US Carnegie Endowment for International Peace thinktank has described the framework as China’s attempt to “to advance frontier safety without the need for heavy handed regulatory interventions”.\nLegal consequences\nNone of this means that Chinese AI rules should be transplanted elsewhere. Its institutions, regulatory traditions and technological priorities are different.\nMany functions now presented as urgent aspirations in the US, including evaluation, accountability for AI companies, risk classification for AI systems, regulatory filing, technical standards and government oversight are already embedded in the governance architecture of the world’s other AI superpower.\nThe US is free to conclude that a market-led system best serves its economic and strategic interests. The Trump administration has favoured a “minimally burdensome” national approach to AI and has sought to limit more demanding state-level regulation.\nBut a market-led model cannot mean privatising the rewards of AI while exporting its risks. US companies may capture the commercial gains, while governments elsewhere are left to investigate security incidents, protect public systems and absorb the wider costs when those technologies fail. The OpenAI agent that gained unauthorised access to Australia’s state healthcare service shows how AI risks are being exported.\nIf Washington rejects extensive controls before systems are released, the US needs a credible legal regime for assessing who is liable for damage caused by those AI models. Otherwise, countries dependent on foreign AI systems will face increasingly difficult choices about whose technology to trust, and on what terms.\nSilicon Valley’s governing ethos has long been to “move fast and break things”. That was always a questionable principle for technologies woven deeply into public life. It is untenable for companies whose own leaders now warn that their products could cause catastrophic harm.\nBeijing has already surrounded its AI sector with public obligations, regulatory oversight and an evolving framework of risk assessment. A global debate that treats such governance as a future aspiration should at least recognise that one country is already ahead of the curve.","excerpt":"Recent warnings from American AI leaders have created the impression that the world is only beginning to confront the dangers of advanced artificial intelligence. 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Dario Amodei, chief executive of tech company Anthropic, has called for governments to intervene to slow the development of increasingly powerful AI models.","source":"The Conversation","date":"2026-09-29T13:08:58+00:00","content":"Recent warnings from American AI leaders have created the impression that the world is only beginning to confront the dangers of advanced artificial intelligence.\nDario Amodei, chief executive of tech company Anthropic, has called for governments to intervene to slow the development of increasingly powerful AI models.\nHis proposal begins with independent evaluators embedded inside AI companies, moves on to regulation and progresses to government-backed coordination among democratic states.\nUltimately, it seeks global agreements with China on testing of AI systems, dangerous applications of the technology and the pace of AI development.\nYet there is a China-shaped hole in this narrative. The Asian superpower is portrayed as the difficult final participant in a governance system that the US and its allies must first create.\nIn fact, China has already established an extensive system of AI rules, assessment, filing, technical standards and government oversight. Here’s how China’s AI governance system has developed in stages alongside the technology itself.\nBeijing’s 2022 rules on algorithmic recommendation services apply to technologies that select, rank, filter or recommend online content to users.\nThey compel companies that use algorithms to examine how they work, to protect the personal information of users, to give users certain controls, and to introduce safeguards for workers, consumers, children and older people.\nChina’s deep synthesis provisions, effective from January 2023, extended regulation to synthetic (or AI-generated) text, images, audio and video. AI companies must authenticate users, protect data, keep relevant records, assess their systems and identify synthetic material that could be mistaken for authentic content.\nThe interim measures for generative artificial intelligence services were introduced in August 2023. These added rules for public-facing generative AI, particularly those that can influence public opinion or persuade uses in other ways.\nThe measures apply to the legality and quality of training data, users’ personal information, intellectual property and discrimination based on protected characteristics. The rules also cover transparency by AI companies and the accuracy and reliability of products.\nUnder the rules, companies must address problems found in their services. These services must undergo a security assessment to examine their risks and compliance with Chinese legislation. The companies must also file information about their algorithms with Chinese authorities.\nThese mechanisms are not identical to the independent evaluators that would be embedded in AI companies, as has been proposed by Amodei. But they perform some of the same functions.\nFrontier risks\nBeijing’s latest set of measures is called the AI safety governance framework 3.0, published in September 2026. It sets out a broad approach to identifying, grading and responding to risks throughout the lifecycle of AI systems.\nBuilding on earlier versions, the framework covers AI model and data risks, vulnerabilities in open source models (those which can be freely modified by users), AI’s effects on employment and society and increasingly autonomous systems.\nIt includes a dedicated mechanism for managing risks associated with rapidly developing AI agents (systems that carry out tasks in response to instructions by a user).\nThe framework addresses some of the same dangers now generating alarm in Silicon Valley, including highly autonomous systems, the misuse of chemical, biological and nuclear technologies, and the possibility of humans losing control of advanced AI. It proposes continual safety evaluations, risk based safeguards, humans being in charge, and emergency intervention mechanisms.\nAn independent analysis by the US Carnegie Endowment for International Peace thinktank has described the framework as China’s attempt to “to advance frontier safety without the need for heavy handed regulatory interventions”.\nLegal consequences\nNone of this means that Chinese AI rules should be transplanted elsewhere. Its institutions, regulatory traditions and technological priorities are different.\nMany functions now presented as urgent aspirations in the US, including evaluation, accountability for AI companies, risk classification for AI systems, regulatory filing, technical standards and government oversight are already embedded in the governance architecture of the world’s other AI superpower.\nThe US is free to conclude that a market-led system best serves its economic and strategic interests. The Trump administration has favoured a “minimally burdensome” national approach to AI and has sought to limit more demanding state-level regulation.\nBut a market-led model cannot mean privatising the rewards of AI while exporting its risks. US companies may capture the commercial gains, while governments elsewhere are left to investigate security incidents, protect public systems and absorb the wider costs when those technologies fail. The OpenAI agent that gained unauthorised access to Australia’s state healthcare service shows how AI risks are being exported.\nIf Washington rejects extensive controls before systems are released, the US needs a credible legal regime for assessing who is liable for damage caused by those AI models. Otherwise, countries dependent on foreign AI systems will face increasingly difficult choices about whose technology to trust, and on what terms.\nSilicon Valley’s governing ethos has long been to “move fast and break things”. That was always a questionable principle for technologies woven deeply into public life. It is untenable for companies whose own leaders now warn that their products could cause catastrophic harm.\nBeijing has already surrounded its AI sector with public obligations, regulatory oversight and an evolving framework of risk assessment. 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Dario Amodei, chief executive of tech company Anthropic, has called for governments to intervene to slow the development of increasingly powerful AI models.","full_text":"Recent warnings from American AI leaders have created the impression that the world is only beginning to confront the dangers of advanced artificial intelligence.\nDario Amodei, chief executive of tech company Anthropic, has called for governments to intervene to slow the development of increasingly powerful AI models.\nHis proposal begins with independent evaluators embedded inside AI companies, moves on to regulation and progresses to government-backed coordination among democratic states.\nUltimately, it seeks global agreements with China on testing of AI systems, dangerous applications of the technology and the pace of AI development.\nYet there is a China-shaped hole in this narrative. The Asian superpower is portrayed as the difficult final participant in a governance system that the US and its allies must first create.\nIn fact, China has already established an extensive system of AI rules, assessment, filing, technical standards and government oversight. Here’s how China’s AI governance system has developed in stages alongside the technology itself.\nBeijing’s 2022 rules on algorithmic recommendation services apply to technologies that select, rank, filter or recommend online content to users.\nThey compel companies that use algorithms to examine how they work, to protect the personal information of users, to give users certain controls, and to introduce safeguards for workers, consumers, children and older people.\nChina’s deep synthesis provisions, effective from January 2023, extended regulation to synthetic (or AI-generated) text, images, audio and video. AI companies must authenticate users, protect data, keep relevant records, assess their systems and identify synthetic material that could be mistaken for authentic content.\nThe interim measures for generative artificial intelligence services were introduced in August 2023. These added rules for public-facing generative AI, particularly those that can influence public opinion or persuade uses in other ways.\nThe measures apply to the legality and quality of training data, users’ personal information, intellectual property and discrimination based on protected characteristics. The rules also cover transparency by AI companies and the accuracy and reliability of products.\nUnder the rules, companies must address problems found in their services. These services must undergo a security assessment to examine their risks and compliance with Chinese legislation. The companies must also file information about their algorithms with Chinese authorities.\nThese mechanisms are not identical to the independent evaluators that would be embedded in AI companies, as has been proposed by Amodei. But they perform some of the same functions.\nFrontier risks\nBeijing’s latest set of measures is called the AI safety governance framework 3.0, published in September 2026. It sets out a broad approach to identifying, grading and responding to risks throughout the lifecycle of AI systems.\nBuilding on earlier versions, the framework covers AI model and data risks, vulnerabilities in open source models (those which can be freely modified by users), AI’s effects on employment and society and increasingly autonomous systems.\nIt includes a dedicated mechanism for managing risks associated with rapidly developing AI agents (systems that carry out tasks in response to instructions by a user).\nThe framework addresses some of the same dangers now generating alarm in Silicon Valley, including highly autonomous systems, the misuse of chemical, biological and nuclear technologies, and the possibility of humans losing control of advanced AI. It proposes continual safety evaluations, risk based safeguards, humans being in charge, and emergency intervention mechanisms.\nAn independent analysis by the US Carnegie Endowment for International Peace thinktank has described the framework as China’s attempt to “to advance frontier safety without the need for heavy handed regulatory interventions”.\nLegal consequences\nNone of this means that Chinese AI rules should be transplanted elsewhere. Its institutions, regulatory traditions and technological priorities are different.\nMany functions now presented as urgent aspirations in the US, including evaluation, accountability for AI companies, risk classification for AI systems, regulatory filing, technical standards and government oversight are already embedded in the governance architecture of the world’s other AI superpower.\nThe US is free to conclude that a market-led system best serves its economic and strategic interests. The Trump administration has favoured a “minimally burdensome” national approach to AI and has sought to limit more demanding state-level regulation.\nBut a market-led model cannot mean privatising the rewards of AI while exporting its risks. US companies may capture the commercial gains, while governments elsewhere are left to investigate security incidents, protect public systems and absorb the wider costs when those technologies fail. The OpenAI agent that gained unauthorised access to Australia’s state healthcare service shows how AI risks are being exported.\nIf Washington rejects extensive controls before systems are released, the US needs a credible legal regime for assessing who is liable for damage caused by those AI models. Otherwise, countries dependent on foreign AI systems will face increasingly difficult choices about whose technology to trust, and on what terms.\nSilicon Valley’s governing ethos has long been to “move fast and break things”. 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Dario Amodei, chief executive of tech company Anthropic, has called for governments to intervene to slow the development of increasingly powerful AI models.","source":"The Conversation","date":"2026-09-29T13:08:58+00:00","content":"Recent warnings from American AI leaders have created the impression that the world is only beginning to confront the dangers of advanced artificial intelligence.\nDario Amodei, chief executive of tech company Anthropic, has called for governments to intervene to slow the development of increasingly powerful AI models.\nHis proposal begins with independent evaluators embedded inside AI companies, moves on to regulation and progresses to government-backed coordination among democratic states.\nUltimately, it seeks global agreements with China on testing of AI systems, dangerous applications of the technology and the pace of AI development.\nYet there is a China-shaped hole in this narrative. The Asian superpower is portrayed as the difficult final participant in a governance system that the US and its allies must first create.\nIn fact, China has already established an extensive system of AI rules, assessment, filing, technical standards and government oversight. Here’s how China’s AI governance system has developed in stages alongside the technology itself.\nBeijing’s 2022 rules on algorithmic recommendation services apply to technologies that select, rank, filter or recommend online content to users.\nThey compel companies that use algorithms to examine how they work, to protect the personal information of users, to give users certain controls, and to introduce safeguards for workers, consumers, children and older people.\nChina’s deep synthesis provisions, effective from January 2023, extended regulation to synthetic (or AI-generated) text, images, audio and video. AI companies must authenticate users, protect data, keep relevant records, assess their systems and identify synthetic material that could be mistaken for authentic content.\nThe interim measures for generative artificial intelligence services were introduced in August 2023. These added rules for public-facing generative AI, particularly those that can influence public opinion or persuade uses in other ways.\nThe measures apply to the legality and quality of training data, users’ personal information, intellectual property and discrimination based on protected characteristics. The rules also cover transparency by AI companies and the accuracy and reliability of products.\nUnder the rules, companies must address problems found in their services. These services must undergo a security assessment to examine their risks and compliance with Chinese legislation. The companies must also file information about their algorithms with Chinese authorities.\nThese mechanisms are not identical to the independent evaluators that would be embedded in AI companies, as has been proposed by Amodei. But they perform some of the same functions.\nFrontier risks\nBeijing’s latest set of measures is called the AI safety governance framework 3.0, published in September 2026. It sets out a broad approach to identifying, grading and responding to risks throughout the lifecycle of AI systems.\nBuilding on earlier versions, the framework covers AI model and data risks, vulnerabilities in open source models (those which can be freely modified by users), AI’s effects on employment and society and increasingly autonomous systems.\nIt includes a dedicated mechanism for managing risks associated with rapidly developing AI agents (systems that carry out tasks in response to instructions by a user).\nThe framework addresses some of the same dangers now generating alarm in Silicon Valley, including highly autonomous systems, the misuse of chemical, biological and nuclear technologies, and the possibility of humans losing control of advanced AI. It proposes continual safety evaluations, risk based safeguards, humans being in charge, and emergency intervention mechanisms.\nAn independent analysis by the US Carnegie Endowment for International Peace thinktank has described the framework as China’s attempt to “to advance frontier safety without the need for heavy handed regulatory interventions”.\nLegal consequences\nNone of this means that Chinese AI rules should be transplanted elsewhere. Its institutions, regulatory traditions and technological priorities are different.\nMany functions now presented as urgent aspirations in the US, including evaluation, accountability for AI companies, risk classification for AI systems, regulatory filing, technical standards and government oversight are already embedded in the governance architecture of the world’s other AI superpower.\nThe US is free to conclude that a market-led system best serves its economic and strategic interests. The Trump administration has favoured a “minimally burdensome” national approach to AI and has sought to limit more demanding state-level regulation.\nBut a market-led model cannot mean privatising the rewards of AI while exporting its risks. US companies may capture the commercial gains, while governments elsewhere are left to investigate security incidents, protect public systems and absorb the wider costs when those technologies fail. The OpenAI agent that gained unauthorised access to Australia’s state healthcare service shows how AI risks are being exported.\nIf Washington rejects extensive controls before systems are released, the US needs a credible legal regime for assessing who is liable for damage caused by those AI models. Otherwise, countries dependent on foreign AI systems will face increasingly difficult choices about whose technology to trust, and on what terms.\nSilicon Valley’s governing ethos has long been to “move fast and break things”. That was always a questionable principle for technologies woven deeply into public life. It is untenable for companies whose own leaders now warn that their products could cause catastrophic harm.\nBeijing has already surrounded its AI sector with public obligations, regulatory oversight and an evolving framework of risk assessment. A global debate that treats such governance as a future aspiration should at least recognise that one country is already ahead of the curve.","confidence":0.9,"diagnostics_url":"/api/diagnose?url=https%3A//theconversation.com/us-tech-leaders-are-urgently-calling-for-rules-on-ai-china-already-has-them-292965","quality_bucket":"high","failure_kind":"none","retryable":false,"quality_reason":"High confidence: full text extraction produced 6002 characters.","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 6002 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":6002,"summary_length":319,"usable_text_length":6002,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":6002,"summary_length":319}},"tags":[],"format_contract_version":"news_item_formats.v1"}}}