人工智能作為引領(lǐng)新一輪科技革命和產(chǎn)業(yè)變革的戰(zhàn)略性技術(shù)，正深刻重塑世界經(jīng)濟(jì)格局、社會治理模式與人類生活方式。我國在人工智能全球治理中始終堅持發(fā)展與安全并重、創(chuàng)新與規(guī)范協(xié)同，提出《全球人工智能治理倡議》，倡導(dǎo)以人為本、智能向善，推動建立開放、公正、包容、有效的全球人工智能治理體系。

為凝聚全球?qū)W術(shù)共識，協(xié)力共同促進(jìn)人工智能治理，在中國科協(xié)組織下，中國人工智能學(xué)會等16家單位，共同起草了《全球人工智能治理科技社團(tuán)倡議》，緊密圍繞確保有益、賦能民生，恪守安全、防范風(fēng)險等內(nèi)容發(fā)出倡議。一起看→

全球人工智能治理科技社團(tuán)倡議

人工智能作為引領(lǐng)新一輪科技革命和產(chǎn)業(yè)變革的戰(zhàn)略性技術(shù)，正深刻重塑世界經(jīng)濟(jì)格局、社會治理模式與人類生活方式。當(dāng)前，全球人工智能技術(shù)快速發(fā)展，既為經(jīng)濟(jì)社會發(fā)展帶來重大機遇，也帶來一系列全球性治理新挑戰(zhàn)，關(guān)乎全人類共同福祉與未來發(fā)展走向。中國在人工智能全球治理中始終堅持發(fā)展與安全并重、創(chuàng)新與規(guī)范協(xié)同，提出《全球人工智能治理倡議》，倡導(dǎo)以人為本、智能向善，推動建立開放、公正、包容、有效的全球人工智能治理體系。科技社團(tuán)作為人工智能研究創(chuàng)新、理念傳播、實踐推動的核心力量，肩負(fù)著凝聚治理共識、筑牢治理根基、賦能治理實踐的重要使命。為凝聚全球?qū)W術(shù)共識，協(xié)力共同促進(jìn)人工智能治理，發(fā)起以下倡議：

確保有益、賦能民生

以增進(jìn)人類共同福祉為人工智能學(xué)術(shù)研究的根本遵循，確保技術(shù)發(fā)展始終服務(wù)全人類共同利益。恪守全人類共同價值，尊重各國歷史文化、社會制度和發(fā)展道路差異，引導(dǎo)人工智能在應(yīng)對全球性發(fā)展難題和挑戰(zhàn)中發(fā)揮積極作用。鼓勵開展實踐導(dǎo)向研究，總結(jié)推廣可復(fù)制的技術(shù)惠民案例，促進(jìn)技術(shù)成果和有益經(jīng)驗合理共享，使人工智能真正成為增進(jìn)全人類福祉、助力可持續(xù)發(fā)展的重要力量。

恪守安全、防范風(fēng)險

將安全作為人工智能學(xué)術(shù)研究與治理的底線要求，確保技術(shù)發(fā)展始終處于人類可控范圍。堅守倫理先行，將科技倫理規(guī)范嵌入人工智能研究全生命周期，建立健全學(xué)術(shù)倫理審查機制，推動倫理審查標(biāo)準(zhǔn)化、制度化、常態(tài)化，筑牢倫理與安全防線。聯(lián)合開展安全治理前沿研究，確保數(shù)據(jù)來源合法和安全，尊重知識產(chǎn)權(quán)、個人信息權(quán)益，重點關(guān)注算法濫用、虛假信息擴散、隱私泄露、模型操控等現(xiàn)實風(fēng)險，以及人工智能失控、自我復(fù)制、自主逃逸等潛在系統(tǒng)性風(fēng)險，探索風(fēng)險研判、監(jiān)測預(yù)警和協(xié)同防控體系，推動技術(shù)創(chuàng)新與治理規(guī)則協(xié)同演進(jìn)。

秉持公平、促進(jìn)均衡

尊重各國平等參與人工智能研究與治理的權(quán)利，以及其基于自身國情制定的人工智能治理路徑與政策，反對技術(shù)霸權(quán)、學(xué)術(shù)壁壘、排他性“小圈子”及不合理技術(shù)壟斷，推動數(shù)據(jù)獲取、人才培養(yǎng)、規(guī)則制定等環(huán)節(jié)更好體現(xiàn)發(fā)展中國家與弱勢群體訴求。加強與發(fā)展中國家的學(xué)術(shù)交流與能力建設(shè)，通過全球聯(lián)合研究、聯(lián)合培養(yǎng)、平臺共建等方式，助力其提升人工智能研究與治理能力，共同彌合全球智能鴻溝，營造公正包容、開放共享的全球?qū)W術(shù)生態(tài)。

交流互鑒、攜手合作

建立跨界多元協(xié)同交流機制，打破創(chuàng)新合作壁壘，凝聚各國科學(xué)家智慧，攜手應(yīng)對共同挑戰(zhàn)，推動全球人工智能治理知識體系交流互鑒與建設(shè)。立足實踐需求，對接各國學(xué)術(shù)機構(gòu)、政府部門、國際組織等多方主體，關(guān)注合作訴求，尋求“最大公約數(shù)”。積極參與全球人工智能風(fēng)險治理、倫理規(guī)范和標(biāo)準(zhǔn)互認(rèn)，推進(jìn)在聯(lián)合國框架下成立國際人工智能治理機構(gòu)的進(jìn)程，推動學(xué)術(shù)共識向政策規(guī)則與治理實踐轉(zhuǎn)化。堅持以科學(xué)研究和事實證據(jù)支撐人工智能治理，不斷提升治理規(guī)則的科學(xué)性、合理性、有效性和公正性。

向善傳播、凝聚共識

多方式、多渠道開展人工智能科普與對話，引導(dǎo)公眾正確認(rèn)知技術(shù)發(fā)展階段與潛在風(fēng)險，提升全民科學(xué)素養(yǎng)，回應(yīng)社會關(guān)切。完善學(xué)術(shù)出版審核機制與規(guī)范，強化學(xué)術(shù)出版?zhèn)惱戆殃P(guān)，在尊重知識產(chǎn)權(quán)和數(shù)據(jù)安全的前提下推進(jìn)成果開放共享，打造權(quán)責(zé)清晰、可審核、可監(jiān)督、可追溯、可信賴的學(xué)術(shù)誠信與成果傳播體系，為全球人工智能治理提供堅實知識支撐。高度重視人工智能對科學(xué)研究范式帶來的深刻變革，圍繞科研倫理、學(xué)術(shù)誠信和科學(xué)文化等重要議題加強研討，凝聚治理共識，引領(lǐng)數(shù)智時代科學(xué)研究健康發(fā)展。

人工智能發(fā)展跨越國界，治理責(zé)任需要全球共擔(dān)�？萍忌鐖F(tuán)應(yīng)堅守學(xué)術(shù)使命與職業(yè)操守，強化責(zé)任擔(dān)當(dāng)、協(xié)同行動，以開放包容的姿態(tài)加強國際學(xué)術(shù)交流合作，以務(wù)實有效的舉措推動智能向善，為促進(jìn)人工智能技術(shù)造福于全人類，推動構(gòu)建人類命運共同體貢獻(xiàn)智慧和力量。

Initiative of the Global Science and

Technology Society

on AI Governance

As a strategic technology driving the latest round of scientific and technological revolution and industrial transformation, artificial intelligence (AI) is profoundly reshaping the global economic landscape, social governance models, and human lifestyles. Currently, the fast development of global AI technology has brought huge opportunities for economic and social development, but also a series of new global governance challenges, which bear on the wellbeing of humanity and its future development trajectory. In global AI governance, China consistently adheres to putting equal emphasis on development and security, and harmonizing innovation with regulation, and has proposed the Global AI Governance Initiative. It advocates a people-centered approach and developing “AI for good”, promoting the establishment of an open, fair, inclusive, and effective global AI governance system. As the core force driving AI research innovation, the dissemination of ideas, and the advancement of practical applications, the science and technology society shoulders the vital mission of building governance consensus, solidifying its foundations, and empowering its practices. To build global academic consensus and work together to jointly promote the governance of AI, we hereby launch the following initiatives:

Ensuring Beneficial Outcomes and Empowering Livelihoods

Taking the goal of increasing the wellbeing of humanity as the fundamental guiding principle for AI academic research, we must ensure that technological development consistently serves the common interests of humanity. We should abide by humanity’s common values, respect the differences in histories, cultures, social systems, and development paths of various countries, and guide AI to play a positive role in addressing global development problems and challenges. We encourage practice-oriented research to synthesize and promote replicable cases of technology benefiting the public, facilitate the equitable sharing of technological achievements and beneficial experiences, and make AI a truly vital force for increasing the wellbeing of humanity and supporting sustainable development.

Upholding Security and Preventing Risks

Establishing security as the baseline requirement for AI academic research and governance, we must ensure that AI always remains under human control. Adhering to the principle of putting “ethics first”, we should embed scientific and technological ethical norms throughout the entire life cycle of AI research. We aim to establish and improve academic ethical review mechanisms, promote the standardization, institutionalization, and normalization of ethical reviews, and build a robust defense line of ethics and security. We should collaboratively conduct frontier research on security governance, ensuring the legality and security of data sources, and respecting intellectual property rights and personal information rights and interests. We should focus on immediate risks such as algorithmic abuse, the spreading of disinformation, privacy leakage, and model manipulation, as well as potential systemic risks like AI loss of control, self-replication, and autonomous escape. Furthermore, we should explore systems for risk assessment, monitoring, early warning, and collaborative prevention and control, driving the synchronized evolution of technological innovation and governance rules.

Upholding Fairness and Promoting Balanced Development

We respect the right of all countries to participate equally in AI research and governance, as well as their AI governance paths and policies formulated based on their respective national conditions. We strictly oppose technological hegemony, academic barriers, exclusive “small circles”, and unreasonable technological monopolies, striving to better reflect the demands of developing countries and vulnerable groups in areas such as data access, talent cultivation, and rule-making. We should strengthen academic exchanges and capacity building with developing countries, assisting them in enhancing their AI research and governance capabilities through global joint research, collaborative training, and shared platforms. Together, we aim to bridge the global gap in AI and foster a fair, inclusive, open, and shared global academic ecosystem.

Fostering Exchange, Mutual Learning, and Collaborative Cooperation

We should establish cross-sectoral and multi-stakeholder collaborative exchange mechanisms, dismantle barriers to innovation and cooperation, and pool the wisdom of scientists worldwide to jointly address shared challenges, thereby promoting the exchange, mutual learning, and construction of a global AI governance knowledge system. Grounded in practical needs, we should engage with diverse stakeholders, including academic institutions, government bodies, and international organizations. We should attentively address cooperation demands and seek the “broadest common ground”. We should actively participate in the global governance of AI risks, ethical norms, and the mutual recognition of standards, advance the process to establish an international institution to govern AI within the United Nations framework, and promote the translation of academic consensus into policy rules and governance practices. We persist in supporting AI governance with scientific research and factual evidence, continuously enhancing the scientific rigor, rationality, effectiveness, and fairness of governance rules.

Promoting “AI for Good” Communication and BuildingConsensus

We should conduct AI science popularization and public dialogue through diverse channels, guiding the public to accurately understand the current stages of technological development and its potential risks, enhancing overall scientific literacy, and responding to societal concerns. We should refine academic publishing review mechanisms and norms, and strengthen ethical oversight in academic publishing. While respecting intellectual property rights and data security, we should promote the open sharing of research findings, and build a trustworthy academic integrity and achievement dissemination system with clear rights and responsibilities that can be reviewed, monitored, and traced, thereby providing robust intellectual support for global AI governance. We attach great importance to the profound changes AI brings to scientific research paradigms, and will strengthen discussions on critical issues such as research ethics, academic integrity, and scientific culture, to build governance consensus and guide the healthy development of scientific research in the era of digital intelligence.

The development of AI transcends national borders, and the responsibility for its governance must be shared globally. The science and technology society should uphold its academic mission and professional ethics, strengthen its sense of responsibility, and take coordinated action. With an open and inclusive posture, we should enhance international academic exchange and cooperation, advance the development of “AI for good” through pragmatic and effective measures, and contribute our wisdom and strength to promoting AI technologies to benefit humanity and building a community with a shared future for mankind.

*16家單位包括中國自動化學(xué)會、中國儀器儀表學(xué)會、中國圖學(xué)學(xué)會、中國電子學(xué)會、中國計算機學(xué)會、中國通信學(xué)會、中國仿真學(xué)會、中國圖象圖形學(xué)學(xué)會、中國人工智能學(xué)會、中國指揮與控制學(xué)會、中國密碼學(xué)會、中國科學(xué)學(xué)與科技政策研究會、中國科學(xué)技術(shù)期刊編輯學(xué)會、國際數(shù)字地球協(xié)會、世界機器人合作組織、國際智能制造聯(lián)盟。

來源：中國科協(xié)之聲

責(zé)編：葉　揚

美編：陳路漫

一審：何百岳

二審：方佳佳

三審：王陸軍