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Linking Artificial Intelligence Principles

Integrating, synthesizing, analyzing, and promoting global Artificial Intelligence Principles
as well as their social and technical practices.

Various Artificial Intelligence Principles are designed with different considerations, and none of them can be perfect and complete for every scenario. Linking Artificial Intelligence Principles (LAIP) is an initiative and platform for integrating, synthesizing, analyzing, and promoting global Artificial Intelligence Principles and their social and technical practices World Wide, from different research institutes, non-profit organizations, non-governmental organizations, companies, etc. The efforts aim at understanding in which degree do these different AI Principles proposals share common values, differ and complete each other.

The current LAIP engine enables us to list and compare between different AI principle proposals at keywords, topic and paragraph levels.

Here we have the paper "Linking Artificial Intelligence Principles" that gives more details on the design philosophy and initial observations.

The following table presents an analysis of different AI Principles world wide (currently 109 proposals) from the perspective of coarser topics, which shows mainly on the consensus of various proposals.

for human
collaboration
share
fairness
transparency
privacy
security
safety
accountability
long term AI
Beijing 2019
18
2
5
3
5
3
2
3
2
4
FLI 2017
9
2
4
1
4
4
2
6
2
4
NGCNGAI 2019
11
4
5
6
3
6
1
7
4
1
Smart Dubai 2019
13
3
1
4
4
6
6
7
2
6
AIIA 2019
12
1
3
7
7
4
6
10
4
Argentina 2023
9
1
3
9
5
2
3
2
8
Beijing Children 2020
8
3
3
3
3
5
1
4
5
Cabinet Office 2018
28
5
5
12
2
13
6
4
3
EGE 2018
17
3
5
9
2
10
5
8
6
G20 2019
10
2
6
8
3
5
3
7
8
Google 2018
4
1
1
8
1
5
2
7
1
ITI 2017
11
5
3
3
1
3
8
6
12
Internet Society 2017
1
3
1
2
4
3
7
10
7
MIC 2017
6
4
2
4
4
15
12
23
3
MIC 2018
7
8
3
5
7
17
13
4
5
Montreal 2018
9
2
7
3
4
8
2
5
7
NGCNGAI 2021
7
1
4
14
6
9
6
13
5
Nadella 2016
8
2
1
2
2
1
1
1
3
OECD 2019
9
2
6
8
3
5
3
7
7
Ontario 2023
3
3
4
8
6
2
1
3
8
Russia 2021
12
4
2
7
3
5
6
9
14
Russia 2022
11
4
2
8
3
4
6
9
13
SHAIISEAC 2019
2
1
1
2
2
4
11
7
3
Saudi Arab 2022
26
1
2
46
33
32
24
38
26
Telia 2019
3
3
2
6
4
1
1
4
5
UK MOD 2022
7
1
1
10
4
4
4
7
16
UNESCO 2021
56
3
9
16
29
17
5
9
12
UNICEF 2020
6
2
2
4
6
2
1
4
2
WHO 2021
7
1
8
12
23
12
2
11
16
ASEAN 2021
5
4
14
16
29
13
16
5
Australia 2019
10
3
5
4
6
5
7
14
Deutsche Telekom 2018
4
4
2
4
4
4
6
9
EC 2019
4
4
11
9
6
3
9
5
HAIP 2018
15
2
4
5
5
7
3
2
HLEG 2018
18
6
35
13
11
4
10
8
ICDPPC 2018
12
1
2
9
10
16
2
3
IEEE 2017
13
1
1
8
5
3
6
8
Intel 2017
1
1
4
2
8
5
6
3
JSAI 2017
8
2
5
1
3
2
7
3
Montreal 2017
5
1
2
4
2
9
1
6
Rebelliondefense 2023
2
1
8
5
3
1
8
7
Shanghai YoungAI 2019
5
1
5
7
3
2
5
6
Sony 2018
5
1
2
2
2
2
1
1
Tencent 2018
5
2
6
8
4
4
7
2
Tsinghua CISS 2019
4
1
3
1
3
1
2
1
UNCEB 2022
12
3
5
6
8
3
3
6
UNI Global Union 2017
8
2
2
12
5
2
2
11
US IC 2020
3
1
1
1
3
2
5
2
US OSTP 2020
1
2
11
10
4
8
7
4
US OSTP 2020
1
2
11
10
4
8
7
4
Alan Turing Inst 2019
2
2
4
3
1
1
3
Aotearoa 2020
5
1
5
5
3
2
2
Biodiversity 2022
6
3
3
2
2
6
2
CIGI 2018
1
4
5
3
3
12
5
DoDDIB 2019
1
1
1
3
1
2
2
House of Lords 2018
4
1
4
4
2
3
1
IA Latam 2019
3
4
2
2
1
2
1
Megvii 2019
1
3
1
2
4
2
3
Mexico 2022
3
1
1
1
1
1
2
NSW 2024
1
4
2
9
4
2
4
PDPC Compilation 2020
7
1
5
4
2
2
8
SAP 2018
2
6
6
2
7
2
6
Serbia 2023
20
1
14
3
2
6
3
South Korea 2020b
12
3
3
3
4
2
2
Telefonica 2018
2
1
8
4
10
5
2
The Public Voice 2018
1
12
4
4
5
8
13
Tieto 2018
2
2
3
2
1
1
1
CAIDP 2018
7
2
4
3
5
9
COMEST 2019
3
1
4
1
1
3
Climate Action 2022
7
6
3
3
1
4
DeepMind 2017
1
4
1
1
2
2
GER DEC 2019
7
1
3
3
3
1
ITechLaw 2019
1
5
4
3
2
6
Microsoft 2018
1
1
2
2
2
2
NATO 2021
1
2
2
1
4
5
OpenAI 2018
4
2
1
1
8
12
PAI 2016
1
3
1
1
2
2
Rome Call 2020
1
2
3
2
2
2
Samsung 2019
1
3
3
1
1
2
Thomson Reuters 2023
1
1
2
1
1
2
US DoD 2020
1
1
3
1
2
2
Vodafone 2019
2
1
1
2
2
2
ADP 2018
4
8
1
1
1
Canada 2019
2
1
1
1
2
FATML 2016
1
3
3
3
7
IBE 2018
1
5
5
5
7
IEEE 2019
4
1
1
2
1
Indonesia 2023
1
2
2
1
1
NYTimes 2019
1
2
2
1
2
South Korea 2020
2
1
1
1
1
TBS Canada 2018
1
2
1
1
1
The Future Society 2017
4
2
2
3
3
USACM 2017
4
4
2
5
3
Unity 2018
2
2
1
1
2
Adobe 2021
4
2
1
3
GE Healthcare 2018
1
2
1
2
IBM 2017
1
1
1
2
IBM 2018a
1
1
1
5
IBM 2018b
1
2
1
2
PDPC 2019
1
2
4
1
Peru 2023
3
1
1
1
Russia 2019
2
1
3
2
US OSTP 2022
1
2
1
1
Baidu 2018
2
1
2
OP Financial 2018
2
4
1
Sage 2017
1
1
3
US AI Initiative 2019
1
1
2
Etzioni 2017
1
1
Stanford 2018
1

The following table presents the analysis with finer topics (terms with the same color belong to the same coarser topic), and it indicates that none of the principle proposals cover every topic and different proposals actually complete each other. The current major outcome of the “Linking AI Principles” project is how these different proposals complete each other, instead of compete with each other.

for human beneficial well being dignity freedom education sustainability collaboration partnership cooperation dialogue share equal fairness justice bias discrimination prejudice transparency explainable predictable intelligible audit trace privacy informed control the data security cyberattack confidential safety validation verification test controllability human control accountability responsibility long term AI higher level of AI AGI ASI
Beijing 2019
8
3
2
1
1
2
1
2
4
1
1
1
1
1
1
1
1
1
1
2
2
2
1
1
1
1
2
1
FLI 2017
2
2
3
1
1
2
4
1
3
1
3
1
1
1
4
1
1
2
3
1
NGCNGAI 2019
5
1
2
2
1
1
2
1
4
1
3
2
1
1
1
1
5
1
1
4
3
1
3
1
Smart Dubai 2019
3
2
4
2
1
1
1
2
1
2
2
2
2
6
6
4
1
2
2
1
3
2
AIIA 2019
3
2
1
1
4
1
1
3
3
1
1
2
3
3
1
4
6
5
1
1
1
2
4
Argentina 2023
2
2
3
2
1
1
2
3
1
1
4
2
2
1
2
3
2
3
5
Beijing Children 2020
1
3
3
1
2
1
3
2
1
2
1
2
3
1
3
1
1
4
Cabinet Office 2018
1
4
1
16
6
2
1
1
1
3
2
6
2
3
1
2
13
6
3
1
2
1
EGE 2018
5
1
4
4
1
2
2
1
1
4
4
3
1
1
1
1
7
3
4
1
7
1
2
4
G20 2019
3
1
2
1
1
2
1
1
4
2
4
1
2
1
2
1
5
3
6
1
2
6
Google 2018
1
1
1
1
1
1
4
1
3
1
3
1
1
2
4
2
1
1
ITI 2017
1
1
1
7
1
1
4
1
2
3
1
2
1
6
2
3
1
2
1
11
Internet Society 2017
1
1
2
1
1
1
3
1
3
7
7
2
1
2
5
MIC 2017
2
1
2
1
1
2
1
2
2
1
1
1
3
15
9
2
1
6
4
6
7
3
MIC 2018
2
5
4
4
3
2
2
1
1
6
17
12
1
1
3
4
1
Montreal 2018
1
3
1
1
3
2
1
6
2
1
2
2
6
2
2
2
1
2
7
NGCNGAI 2021
1
1
1
1
3
1
3
1
5
3
2
3
1
2
1
1
1
1
8
1
6
9
1
2
1
2
3
Nadella 2016
3
1
4
2
1
1
1
1
1
1
1
1
3
OECD 2019
2
1
2
1
1
2
1
1
4
2
4
1
2
1
2
1
5
3
6
1
2
5
Ontario 2023
2
1
3
3
1
4
2
2
4
1
1
2
1
2
1
5
3
Russia 2021
5
4
3
2
2
1
1
2
5
3
4
1
6
4
3
2
14
Russia 2022
6
2
3
4
1
1
3
5
3
3
1
6
4
3
2
13
SHAIISEAC 2019
1
1
1
1
1
1
1
1
4
11
7
3
Saudi Arab 2022
15
2
2
7
1
1
1
25
14
7
15
10
4
4
29
3
20
1
3
9
14
2
12
1
9
17
Telia 2019
2
1
1
2
2
4
1
1
2
2
1
1
1
3
1
4
UK MOD 2022
3
3
1
1
1
1
7
2
2
1
1
4
4
1
1
5
5
11
UNESCO 2021
24
1
7
12
4
8
2
1
4
5
6
2
2
6
14
10
1
2
2
13
4
5
8
1
5
7
UNICEF 2020
2
3
1
1
1
1
1
1
1
2
4
2
2
1
3
1
1
1
WHO 2021
1
2
1
3
1
3
5
9
3
11
7
3
2
6
6
2
5
2
4
3
13
ASEAN 2021
1
1
2
1
1
3
4
2
3
5
6
5
4
1
26
3
11
1
1
7
9
3
2
Australia 2019
4
1
3
1
1
3
4
1
3
1
6
5
4
1
1
1
6
8
Deutsche Telekom 2018
4
1
2
1
2
1
2
1
3
1
4
6
9
EC 2019
2
2
4
2
1
5
3
3
3
2
1
5
1
3
5
1
3
2
3
HAIP 2018
15
2
4
5
4
1
6
1
3
1
1
HLEG 2018
2
2
5
1
4
1
3
6
6
4
13
11
1
9
1
1
1
1
8
3
3
1
4
2
4
6
2
ICDPPC 2018
6
1
2
1
2
1
1
1
2
3
4
5
1
2
2
15
1
1
1
2
1
IEEE 2017
5
3
1
1
3
1
1
6
1
1
3
2
3
3
1
1
1
4
4
Intel 2017
1
1
2
2
1
1
8
5
6
3
JSAI 2017
6
1
1
2
3
1
1
1
3
1
1
4
1
2
1
2
Montreal 2017
1
4
1
1
1
2
2
1
1
6
3
1
6
Rebelliondefense 2023
1
1
1
2
5
1
2
2
1
3
1
1
6
1
4
3
Shanghai YoungAI 2019
4
1
1
3
1
1
5
1
1
3
2
2
2
1
2
4
Sony 2018
2
1
2
1
1
1
1
1
2
2
1
1
Tencent 2018
1
1
1
2
1
1
1
3
2
5
1
2
4
3
1
1
2
2
2
1
1
Tsinghua CISS 2019
1
2
1
1
2
1
1
2
1
1
2
1
UNCEB 2022
5
5
2
1
2
2
1
2
2
3
1
6
2
3
3
4
2
UNI Global Union 2017
3
1
3
1
1
1
2
11
1
4
1
2
1
1
4
7
US IC 2020
1
1
1
1
1
1
3
1
1
5
2
US OSTP 2020
1
1
1
3
2
6
8
2
4
7
1
6
1
3
1
US OSTP 2020
1
1
1
3
2
6
8
2
4
7
1
6
1
3
1
Alan Turing Inst 2019
2
2
1
1
2
1
1
1
1
1
2
1
Aotearoa 2020
1
2
1
1
1
2
2
1
2
1
1
1
2
1
2
2
Biodiversity 2022
1
2
3
3
3
1
1
2
3
1
1
1
2
CIGI 2018
1
1
2
1
5
3
3
3
2
5
2
3
2
DoDDIB 2019
1
1
1
1
1
1
1
1
1
2
House of Lords 2018
1
1
2
1
2
2
1
2
1
2
3
1
IA Latam 2019
1
1
1
3
1
1
1
2
1
1
1
1
Megvii 2019
1
1
2
1
2
4
1
1
2
1
Mexico 2022
1
1
1
1
1
1
1
1
2
NSW 2024
1
1
2
1
2
5
4
4
2
2
2
PDPC Compilation 2020
2
1
2
1
1
1
2
1
2
2
1
1
2
1
1
4
4
SAP 2018
2
3
2
1
1
4
1
2
7
2
4
1
1
Serbia 2023
1
14
3
2
1
7
1
6
1
2
2
2
2
2
3
South Korea 2020b
8
1
1
1
1
3
2
1
2
1
4
2
1
1
Telefonica 2018
1
1
1
4
2
2
3
1
10
4
1
1
1
The Public Voice 2018
1
8
2
2
4
4
5
6
2
8
5
Tieto 2018
1
1
2
2
1
1
1
1
1
1
CAIDP 2018
5
1
1
2
4
3
4
1
7
2
COMEST 2019
2
1
1
2
2
1
1
2
1
Climate Action 2022
2
1
2
2
4
2
2
1
1
1
1
1
3
1
DeepMind 2017
1
3
1
1
1
2
2
GER DEC 2019
2
2
3
1
2
1
3
3
1
ITechLaw 2019
1
3
2
2
2
3
2
3
3
Microsoft 2018
1
1
2
2
2
2
NATO 2021
1
2
1
1
1
1
1
1
1
2
3
OpenAI 2018
3
1
2
1
1
8
12
PAI 2016
1
1
1
1
1
1
2
1
1
Rome Call 2020
1
1
1
2
1
2
2
2
Samsung 2019
1
2
1
2
1
1
1
1
1
Thomson Reuters 2023
1
1
1
1
1
1
1
1
US DoD 2020
1
1
1
1
1
1
1
1
2
Vodafone 2019
2
1
1
2
2
1
1
ADP 2018
1
2
1
8
1
1
1
Canada 2019
2
1
1
1
2
FATML 2016
1
1
1
1
2
1
1
2
4
3
IBE 2018
1
3
1
1
2
3
5
2
5
IEEE 2019
2
2
1
1
2
1
Indonesia 2023
1
1
1
1
1
1
1
NYTimes 2019
1
2
2
1
2
South Korea 2020
1
1
1
1
1
1
TBS Canada 2018
1
1
1
1
1
1
The Future Society 2017
2
2
2
2
2
1
2
1
USACM 2017
3
1
1
1
2
1
1
2
3
2
1
Unity 2018
1
1
1
1
1
1
1
1
Adobe 2021
1
2
1
1
1
1
2
1
GE Healthcare 2018
1
1
1
1
2
IBM 2017
1
1
1
1
1
IBM 2018a
1
1
1
3
2
IBM 2018b
1
1
1
1
1
1
PDPC 2019
1
2
2
2
1
Peru 2023
2
1
1
1
1
Russia 2019
2
1
2
1
2
US OSTP 2022
1
2
1
1
Baidu 2018
1
1
1
1
1
OP Financial 2018
2
4
1
Sage 2017
1
1
2
1
US AI Initiative 2019
1
1
1
1
Etzioni 2017
1
1
Stanford 2018
1

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Institute of Automation, Chinese Academy of Sciences
95 Zhongguancun East Road,
Haidian District, Beijing,
China 100190
Principal Investigator - Yi Zeng
contact@long-term-ai.cn

Contributors: Cunqing Huangfu, Enmeng Lu, Zizhe Ruan et al.

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Brain-inspired Cognitive Intelligence Lab, Institute of Automation, Chinese Academy of Sciences
International Research Center for AI Ethics and Governance, Institute of Automation, Chinese Academy of Sciences
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