{
  "schema_version": 1,
  "id": "evt-2026-agmai-responsible-release",
  "slug": "agmai-responsible-release-ai-generated-mathematics",
  "title": {
    "en": "AGMAI publishes responsible-release norms for AI-generated mathematics",
    "zh-CN": "AGMAI 发布 AI 生成数学成果的负责任发布规范"
  },
  "dates": {
    "event": "2026-09-29",
    "first_public_claim": "2026-09-29",
    "paper_release": null,
    "artifact_release": "2026-09-29",
    "independently_verified": null,
    "added_to_chronicle": "2026-10-07",
    "last_updated": "2026-10-07"
  },
  "event_types": [
    "field_building"
  ],
  "significance": {
    "tier": "H2",
    "rationale": {
      "en": "AGMAI's responsible-release recommendations are a field-building milestone because they translate the 2026 debate over AI-generated mathematics into a concrete, public set of norms for frontier AI labs. The recommendations address human understanding, publication channels, citations, provenance, model and prompt disclosure, compute reporting, formalization standards, failure disclosure, community-led assimilation and equitable access. They were informed by more than six hundred community responses and were subsequently discussed with OpenAI before its large October mathematics release.",
      "zh-CN": "AGMAI 的负责任发布建议构成领域建构里程碑，因为它把 2026 年围绕 AI 生成数学成果的 争论转化为一套面向前沿 AI 实验室的公开、具体规范。建议覆盖人类理解、发布渠道、 引用、provenance、模型与 prompt 披露、算力报告、形式化标准、失败样本披露、 共同体主导的成果吸收以及公平访问。该规范吸收了六百余份共同体反馈，并在 OpenAI 10 月大规模数学成果发布前与其进行了讨论。"
    }
  },
  "mathematical_novelty": {
    "type": "not_applicable"
  },
  "interfaces": [
    "not_applicable"
  ],
  "claim": {
    "en": "On 29 September 2026, the Advisory Group on Mathematics and Artificial Intelligence published recommendations for the responsible release of AI-generated mathematics. The group asks frontier labs to stop testing advanced mathematical problems on proprietary models as its preferred long-term norm, while also specifying how significant results should be released when such work occurs. For results not yet understood by humans, the recommendations call for improved citations and exposition, persistent community-oriented repositories, disclosure of the model, prompts, summarized reasoning, time and compute, documentation of AI use and problem selection, comparable failure statistics for batch releases, formalization where possible, and material support for community-led human understanding.",
    "zh-CN": "2026 年 9 月 29 日，Advisory Group on Mathematics and Artificial Intelligence 发布 AI 生成数学成果的负责任发布建议。该组织把“停止使用不可公开的专有模型测试前沿 数学问题”作为理想的长期规范，同时也规定当此类研究已经发生时，重要结果应如何发布。 对尚无人类完整理解的成果，建议要求改进引用与阐释、使用面向共同体的持久化仓库、 披露模型、prompts、摘要式推理、时间与算力、说明 AI 使用与选题过程、对批量发布给出 可比较的失败统计、尽可能进行形式化，并为共同体主导的人类理解投入实质支持。"
  },
  "summary": {
    "en": "AGMAI says the recommendations were informed by more than 600 responses from the mathematical community. The document distinguishes ordinary papers that a responsible mathematician fully understands from AI outputs that nobody yet understands. In the latter case it proposes technical release norms and a parallel obligation for labs to fund independent, community-led workshops, conferences, expository work and other activities needed to assimilate the mathematics. It also warns that unequal access to frontier systems could create a multi-tier mathematical community.",
    "zh-CN": "AGMAI 表示该建议吸收了数学共同体超过 600 份反馈。文件区分两类情形：由负责的数学家 完整理解的普通论文，以及尚无人类完整理解的 AI 输出。针对后一类，文件既提出技术发布 规范，也要求实验室为独立、共同体主导的研讨会、会议、阐释工作及其他理解和吸收数学 所需活动提供支持；同时警告前沿系统访问不平等可能制造多层级的数学共同体。"
  },
  "why_it_matters": {
    "en": "Earlier 2026 statements identified problems in attribution, incentives, access and research dissemination. This document converts those concerns into an operational checklist that can be compared against actual releases. OpenAI's 6 October release explicitly says it drew on AGMAI's advice, and AGMAI subsequently stated that it had discussed the recommendations with OpenAI while leaving assessment of compliance and mathematical merit to the wider community.",
    "zh-CN": "2026 年此前的共同体声明主要指出归属、激励、访问和研究发布方面的问题；这份文件则把 这些问题转化为可以与真实发布行为逐项对照的操作规范。OpenAI 10 月 6 日的发布明确表示 参考了 AGMAI 建议；AGMAI 随后也说明已与 OpenAI 讨论这些规范，同时把是否充分遵循规范 以及成果数学价值的判断留给更广泛的共同体。"
  },
  "ai_role": {
    "level": "not_applicable",
    "description": {
      "en": "This Event records human-authored scholarly-governance norms for AI-generated mathematics rather than an AI system performing mathematical research.",
      "zh-CN": "本事件记录的是人类制定的 AI 生成数学成果学术治理规范，而不是 AI 系统执行具体数学研究。"
    }
  },
  "human_contribution": {
    "description": {
      "en": "AGMAI members synthesized community feedback into public recommendations for frontier AI labs and committed to independent, transparent engagement with the mathematical community and AI companies.",
      "zh-CN": "AGMAI 成员把共同体反馈整理为面向前沿 AI 实验室的公开建议，并承诺以独立、透明的方式 持续与数学共同体及 AI 企业互动。"
    }
  },
  "systems": [],
  "organizations": [
    "advisory-group-on-mathematics-and-artificial-intelligence",
    "institute-for-advanced-study"
  ],
  "people": [],
  "problems": [],
  "methods": [
    "scholarly-governance",
    "responsible-release",
    "provenance-disclosure",
    "formalization-standards",
    "community-led-review",
    "equitable-access"
  ],
  "verification": {
    "evidence_level": "E2",
    "status": "claimed",
    "formal_assurance": "none",
    "history": [
      {
        "date": "2026-09-29",
        "status": "claimed",
        "evidence_level": "E2",
        "note": {
          "en": "AGMAI's public recommendations establish the document, its scope and its stated basis in more than 600 community responses.",
          "zh-CN": "AGMAI 的公开建议确认了文件本身、规范范围以及其基于六百余份共同体反馈的说明。"
        }
      },
      {
        "date": "2026-10-06",
        "status": "claimed",
        "evidence_level": "E2",
        "note": {
          "en": "AGMAI's statement on OpenAI's large mathematics release says the group discussed its recommendations with OpenAI and reaffirms them, while explicitly declining to endorse the released mathematics or certify that the recommendations were followed successfully.",
          "zh-CN": "AGMAI 针对 OpenAI 大规模数学成果发布的声明表示其已与 OpenAI 讨论这些建议并再次 重申规范，同时明确不对发布的数学成果背书，也不自行认证 OpenAI 已成功遵循全部建议。"
        }
      }
    ]
  },
  "sources": [
    {
      "id": "agmai-responsible-release-2026",
      "tier": "S2",
      "type": "official_announcement",
      "title": "Responsible Release of AI-Generated Mathematics",
      "url": "https://agmai.org/general-sep29/",
      "primary": true,
      "published_date": "2026-09-29",
      "accessed_at": "2026-10-07"
    },
    {
      "id": "agmai-openai-release-statement-2026",
      "tier": "S2",
      "type": "official_announcement",
      "title": "On OpenAI's Release of Mathematical Results",
      "url": "https://agmai.org/",
      "primary": false,
      "published_date": "2026-10-06",
      "accessed_at": "2026-10-07"
    },
    {
      "id": "openai-sharing-math-2026",
      "tier": "S2",
      "type": "official_announcement",
      "title": "Sharing AI progress in mathematics",
      "url": "https://openai.com/index/sharing-ai-progress-in-mathematics/",
      "primary": false,
      "published_date": "2026-10-06",
      "accessed_at": "2026-10-07"
    }
  ],
  "artifacts": [
    {
      "id": "agmai-responsible-release-document",
      "kind": "other",
      "title": "Responsible Release of AI-Generated Mathematics",
      "url": "https://agmai.org/general-sep29/"
    }
  ],
  "relationships": {
    "predecessors": [
      "evt-2026-agmai-advisory-group"
    ],
    "successors": [
      "evt-2026-openai-math-release"
    ],
    "related": [
      "evt-2026-severe-misalignment-ai-mathematics"
    ]
  },
  "timeline": {
    "featured": true,
    "significance": "primary"
  },
  "tags": [
    "field-building",
    "ai-governance",
    "responsible-release",
    "research-integrity",
    "provenance",
    "formalization",
    "mathematical-community"
  ],
  "editorial": {
    "created_at": "2026-10-07",
    "last_reviewed": "2026-10-07",
    "reviewers": [
      "Charlie-Wang-03"
    ]
  },
  "corrections": []
}