内容来源：https://blog.google/innovation-and-ai/products/responsible-ai-2026-report-ongoing-work/

内容总结：

谷歌发布2026年度负责任人工智能进展报告，系统阐述其在AI治理与创新应用方面的最新实践。报告指出，2025年成为人工智能发展的关键转折点——AI已从探索性技术演进为具备推理与交互能力的主动型伙伴，在全球范围内加速融入生产生活各领域。

报告强调，随着模型能力向个性化、多模态方向持续演进，谷歌已将负责任AI治理体系深度融入产品研发全生命周期。公司以《AI原则》为根本指引，通过覆盖研发、部署、监测、修正的多层治理框架，结合二十五年用户信任洞察与前沿自动化对抗测试，构建动态风险防控体系。

在推动技术向善方面，报告展现AI正成为应对重大社会挑战的创新引擎：从为7亿人口提供洪水预警到解码人类基因组、辅助疾病预防，其社会价值日益凸显。谷歌表示，将继续通过政企学研协同合作，推动行业标准建设与技术成果共享，致力于让AI技术惠及更广泛人群，为全球可持续发展注入科技动力。

中文翻译：

我们2026年负责任人工智能进展报告
2025年标志着人工智能的重大转折——它已成为能够主动推理、适应现实世界的得力伙伴。随着模型日益精进，全球用户与企业正从技术探索转向深度整合，在日常生活中开辟出人机协作的新路径。人工智能的变革潜力正愈发清晰：从科学发现的基础性突破、医疗健康的临床里程碑，到能极大提升个人生产力的智能体系统崛起，其影响已渗透至各个领域。

今天我们正式发布最新的《负责任人工智能进展报告》。自首次发布此类报告以来，我们的负责任人工智能实践体系持续完善，现已全面融入产品研发与科研的全生命周期。2025年，面对模型能力、个性化与多模态程度的全面提升，我们依托严谨的风险测试与缓解机制，进一步强化了产品的内生安全屏障。为应对谷歌级规模与速度的挑战，我们将二十五年用户信任洞察与前沿自动化对抗测试相结合，并确保人类专家对最先进系统实施关键监督。

我们的"人工智能原则"是指导研究、产品开发与商业决策的核心准则。本报告详述了如何通过覆盖人工智能全生命周期的分层治理框架——从初期研究、模型开发到发布后监测与修正——将这些原则落到实处。报告同时展现了我们如何构建能动态感知并适应新兴风险的系统架构。

负责任不仅意味着防范有害输出，更在于推动技术普惠，使更多人和社会受益。通过精准把握平衡，我们正让人工智能攻克以往难以逾越的社会挑战：从为7亿人提供洪水预警，到破译人类基因组密码，再到助力预防失明。

建立对人工智能的信任需要与政府、学界及民间社会的深度协作。在技术演进的道路上，我们将持续致力于树立行业标准，并向更广阔的生态圈开放研究成果与工具，推动人工智能成为改善全球生活的积极力量。

英文来源：

Our 2026 Responsible AI Progress Report
2025 marked a major shift for AI as it became a helpful, proactive partner, capable of reasoning and navigating the world. As models grow even more sophisticated, people and businesses around the globe are transitioning from exploration to integration and finding new ways to put these tools to work in their daily lives. The transformational potential of AI is coming more clearly into focus, from foundational advances in scientific discovery and clinical milestones in healthcare to the rise of agentic systems capable of dramatically boosting a person’s productivity.
Today we are sharing our latest Responsible AI Progress Report. Since we started publishing these reports, our approach to responsible AI development has continued to mature and is now fully embedded within our product development and research lifecycles. In 2025, as models become more capable, personalized and multimodal, we relied upon robust processes for testing and mitigating risks, and deepened the rigorous safeguards built into our products. To meet this challenge at the speed and scale of Google, we have paired twenty-five years of user trust insights with cutting-edge, automated adversarial testing, ensuring human experts provide critical oversight for our most advanced systems.
Our AI Principles are the north star standards that guide our research, product development and business decisions. Our latest report details how we are operationalizing these principles through a multi-layered governance approach that spans the entire AI lifecycle — from initial research and model development to post-launch monitoring and remediation. The report also shows how our systems are built to be able to detect and then adapt to emerging risks in a dynamic environment.
Responsibility is not only about stopping bad outputs. It is also about enabling broad access to these tools for the maximum benefit of people and society. By striking the right balance, we can ensure that AI is used to tackle major societal challenges that were previously insurmountable, from forecasting floods for 700 million people to decoding the human genome and helping prevent blindness.
Building trust in these tools requires deep partnership with governments, academics and civil society. As technology evolves, we remain committed to setting industry standards and sharing our research and tools with the broader ecosystem to promote uses of AI that will improve lives everywhere.