Live · Education & Technology

Most Watched AI Ethics Frameworks (20)

Ranked by objective public data. Data snapshot 2026-09-22.

📏 Ranking Criteria

Rankings are computed from the authoritative public sources listed below, weighted into a single objective index.

1
E

EU AI Act

World's first comprehensive AI regulation law, effective 2024 with tiered risk-based management

98.1
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2
U

UNESCO Recommendation on the Ethics of AI

First global AI ethics standard adopted by 193 countries

95.7
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3
O

OECD AI Principles

Intergovernmental AI standard released in 2019, adopted by over 40 countries

93.5
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4 N
NIST AI RMF

US AI risk management framework, de facto standard for corporate compliance

91.2
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5 C
Council of Europe Framework Convention on AI

First legally binding international AI treaty, adopted in 2024

89
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6 I
ISO/IEC 42001 人工智能管理体系

First international AI management system standard, supporting third-party certification

86.8
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7 I
IEEE Ethically Aligned Design

AI ethics design methodology from the world's largest technical organization

84.5
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8 A
Asilomar AI Principles

23 principles from 2017, signed by thousands of researchers

82.3
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9
中国《新一代人工智能伦理规范》

Issued by China's Ministry of Science and Technology in 2021, covering R&D to application

80
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10
中国《生成式人工智能服务管理暂行办法》

China's first generative AI regulation, effective 2023

77.8
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11 B
Beijing AI Principles

Released by BAAI in 2019, jointly developed by Chinese and international institutions

75.6
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12 G
G20 AI Principles

Adopted at the 2019 Osaka summit, G20 consensus

73.3
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13 E
EU Ethics Guidelines for Trustworthy AI

Seven core requirements for trustworthy AI proposed by a high-level expert group

71.1
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14 T
The Bletchley Declaration

Signed by 28 countries in 2023, focusing on frontier AI risks

68.9
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15 S
Seoul Frontier AI Safety Commitments

Voluntary safety commitments signed by 16 AI companies in 2024

66.6
16 M
Montreal Declaration

Responsible AI declaration with 10 principles developed through public participation

64.4
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17 O
OpenAI Preparedness Framework

Internal framework for evaluating and releasing frontier models by risk level

62.2
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18 R
Responsible Scaling Policy

Industry template triggering safety measures at AI capability thresholds

59.9
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19 F
Frontier Safety Framework

Model capability evaluation and mitigation requirements set by risk severity levels

57.7
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20 M
Microsoft Responsible AI Standard

Internal governance norms for enterprise-level AI development and deployment

55.5
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🔄 Data snapshot 2026-09-22

📚 Data Sources

This ranking is aggregated from the following authoritative sources:

UNESCO 人工智能伦理建议书 www.unesco.org/en/artificial-intelligence/recommendation-ethics OECD.AI 政策观察站 oecd.ai 欧盟委员会 AI 政策页 digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai NIST AI 风险管理框架 www.nist.gov/itl/ai-risk-management-framework

About this ranking

Compiled by Ranklist from the public sources listed above. Figures are a snapshot taken on 2026-09-22, not live data.

Known limits This list reflects what those sources had published at the time of collection. Where sources disagree, we follow the one named first under Ranking Criteria.

Spotted an error? Write to contact@ranklist.cc and we will check it against the sources.

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