内容来源：https://aibusiness.com/explainable-ai/tech-giants-thomson-reuters-alliance-ai-trust

内容总结：

科技巨头携手成立“可信AI联盟”，共筑人工智能信任基石

在全球人工智能技术快速演进、自主化程度不断提升的背景下，如何确保AI系统的可靠性与责任感已成为行业核心议题。近日，由全球内容巨头汤森路透发起，并联合Anthropic、AWS、谷歌云及OpenAI等顶尖科技公司共同创立了“可信AI联盟”，旨在通过务实协作与行动，推动建立可信、自主的人工智能系统。

该联盟由汤森路透旗下的创新研究中心Thomson Reuters Labs召集组织，其成立标志着行业领先力量正从分散探索转向协同共建。汤森路透首席执行官史蒂夫·哈斯克在声明中强调：“随着AI系统自主性增强，信任已不再是一个理论概念，而是我们时代的关键挑战。”

联盟明确将以行动为导向，而非空泛讨论。创始成员将定期举行专题研讨会，分享技术见解、梳理共性问题，致力于形成统一、可落地的解决方案框架。首次研讨会将聚焦“专业场景下可信AI的工程实现”，并重点探讨三大核心挑战：信息压缩过程中如何保持上下文连贯性、如何确保数据来源的可追溯性，以及如何防御恶意输入对工作流程的干扰。

联盟计划将每期研讨的关键发现与行业广泛共享，以促进更深入的对话，推动建立新的技术标准与行业规范。这一倡议获得了参与方的高度认可。OpenAI技术栈成员扎克·布洛克表示，与汤森路透的合作将为应对塑造AI社会角色的共同技术与伦理问题提供重要平台。谷歌云产品副总裁迈克尔·格斯坦哈伯则认为，此类行业协同与标准定义工作，将赋予各组织在高风险环境中部署智能系统的信心。

业界观察指出，在生成式AI应用落地的初期阶段，聚焦于提升信息交互体验与可信度是关键起点。此次多家头部企业携手，或将为人工智能在全球范围内的负责任发展注入重要推动力。

中文翻译：

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选择您的首批生成式人工智能应用场景
要开始应用生成式人工智能，首先应关注能够优化人类信息交互体验的领域。

人工智能信任联盟旨在通过协作、透明度和可落地方案推动人工智能系统发展。
多家科技巨头已加入一项旨在增强人工智能信任度的新倡议。来自Anthropic、亚马逊云科技、谷歌云及OpenAI的高级工程师与产品负责人，已作为创始成员加入由全球内容提供商汤森路透组织的人工智能信任联盟论坛。

该联盟将由汤森路透创新研究中心——汤森路透实验室召集成立，并明确宣示其使命："推动可信、具自主能力的人工智能系统发展。"
汤森路透首席执行官史蒂夫·哈斯克在领英发布的启动声明中表示："随着人工智能系统自主性增强，信任已非理论概念，而是时代赋予我们的决定性挑战。"

联盟计划通过促进自主人工智能领域领军者间的协作来实现透明度与问责制，并强调将致力于推动实际行动而非空泛讨论。
为此，参与者需分享见解、识别共性问题，以构建协调一致的解决方案体系，共同打造负责任的人工智能系统。

联盟将定期举办专题研讨会，首场会议将聚焦"从工程视角构建专业环境所需信任机制"。
初期将重点探讨决定此类场景信任度的三大关键议题：信息压缩时如何保持上下文连贯性；如何确保信源可追溯性；以及如何保障工作流程免受恶意输入侵害。

每场研讨的核心发现与见解将向业界广泛分享，以促进深度对话，推动新框架与标准的建立。
该倡议已获参与者积极响应。OpenAI技术架构成员扎克·布洛克在新闻稿中表示："与汤森路透合作为我们提供了共同探讨技术伦理议题的契机，这些议题将决定人工智能在社会中的长远角色。"

谷歌云产品副总裁迈克尔·格斯滕哈伯补充道："汤森路透凝聚行业力量、制定共同标准的举措，将赋予各组织在高风险环境中部署智能系统的信心。"

英文来源：

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The Trust in AI Alliance aims to advance AI systems through collaboration, transparency and actionable solutions.
Some of the biggest names in tech have committed to a new initiative designed to increase trust in AI.
Senior engineers and product leaders from Anthropic, AWS, Google Cloud and OpenAI have signed up as founding members of the Trust in AI Alliance, a forum organized by Thomson Reuters, the global content company.
The alliance will be convened by the firm's innovation research center, Thomson Reuters Labs, and is launching with a clear mission: "To advance the development of trustworthy, agentic AI systems."
"As AI systems become more autonomous, trust isn't a theoretical concept. It's the defining challenge of our time," Thomson Reuters CEO Steve Hasker said in a LinkedIn post about the launch.
The alliance aims to deliver transparency and accountability by enabling collaboration between some of the most prominent players on the agentic AI landscape — but claims it will do this by encouraging action rather than discussion.
As such, participants will be asked to share insights and identify common problems in an effort to shape a coherent, shared approach to resolving issues and building accountable AI systems.
Regular sessions will be held to focus on different topics, with the first workshop focused on what it takes from an engineering perspective to deliver the trust expected in a professional environment.
As such, the alliance will initially look at three key issues that determine trust in such a scenario — how to maintain context when information is being compressed; how to guarantee the provenance of sources; and how to protect workflows against malicious inputs.
Key findings and insights from each session will be shared with the wider industry to encourage increased dialogue in the hope that new frameworks and standards can be put in place.
The initiative has been welcomed by the participants, with Zach Brock, member of the technical stack at OpenAI, stating in a press release: "Partnering with Thomson Reuters creates an opportunity to collaborate on the shared technical and ethical questions that will shape AI's long-term role in society."
Michael Gerstenhaber, vice president of product at Google Cloud, added: "Thomson Reuters efforts' to bring the industry together and define shared standards will give organizations the confidence to deploy intelligent systems in high-stakes environments."