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GCRI · 人工智能与自主系统

创新与实用技术

Technology relevant to artificial intelligence and data and compute: what it can do, the constraints it faces and its consequences for people and institutions.

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01顺序

事情发生的顺序。

  1. 01草稿已引用来源，已附标签
  2. 02证据核查每个数值均可追溯
  3. 03独立审查已申报的利益冲突
  4. 04版本连同其局限一并发布
  5. 05更正新版本，绝不进行无声修改
02方法

Evaluate before adopting.

  1. 01

    Need

    Which problem does the technology address, and for whom?

  2. 02

    证据

    What has been demonstrated, under what conditions, and what remains untested?

  3. 03

    Constraints

    Cost, skills, infrastructure, data and governance requirements.

  4. 04

    Consequences

    Effects on safety, rights, equity and the environment.

03Technologies under assessment

What could change AI practice, and what it still has to show.

技术What it could changeWhat remains to be shown
Automated red teamingBroader coverage of failure modesCoverage of novel failures; evaluator reliability
Interpretability methodsUnderstanding why models failScale and faithfulness of explanations
Content provenance standardsLabelling synthetic mediaAdoption and robustness to removal
AI for scientific discoveryFaster hypotheses and simulationValidation and reproducibility
04Build and test

From idea to tested capability.

Promising work can be built in Foundry and tested under controlled conditions through 宇宙. No technology is described as proven before it has been tested and reviewed.

05来源

Where this page’s references lead.

阅读本页时所对照的机构和文件。状态和版本会变化；每个链接都指向发布机构。

06问题

问题与解答。

Does the platform endorse products?
No. It evaluates technologies and publishes what it finds, with limits. It does not endorse, certify or recommend products or vendors.
报告贡献

从本页贡献证据。

报告 is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

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