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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 92 proposals) from the perspective of coarser topics, which shows mainly on the consensus of various proposals.

for human
sustainability
collaboration
share
fairness
transparency
privacy
security
safety
accountability
long term AI
Beijing 2019
17
1
2
5
3
5
3
2
3
2
4
NGCNGAI 2019
10
1
4
5
6
3
6
1
7
4
1
Montreal 2018
6
3
2
7
3
4
8
2
5
7
WHO 2021
4
3
1
8
12
23
12
2
11
16
UNICEF 2020
5
1
2
2
4
6
2
1
4
2
UNESCO 2021
48
8
3
9
16
29
17
5
9
12
Telia 2019
2
1
3
2
6
4
1
1
4
5
Smart Dubai 2019
13
3
1
4
4
6
6
7
2
6
OECD 2019
7
2
2
6
8
3
5
3
7
7
NGCNGAI 2021
4
3
1
4
14
6
9
6
13
5
ITI 2017
10
1
5
3
3
1
3
8
6
12
G20 2019
8
2
2
6
8
3
5
3
7
8
FLI 2017
9
2
4
1
4
4
2
6
2
4
EGE 2018
15
2
3
5
9
2
10
5
8
6
AIIA 2019
11
1
1
3
7
7
4
6
10
4
Beijing Children 2020
7
1
3
3
3
3
5
1
4
5
Cabinet Office 2018
22
6
5
5
12
2
13
6
4
3
Nadella 2016
8
2
1
2
2
1
1
1
3
Sony 2018
3
2
1
2
2
2
2
1
1
Australia 2019
9
1
3
5
4
6
5
7
14
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
Shanghai YoungAI 2019
4
1
1
5
7
3
2
5
6
SHAIISEAC 2019
2
1
1
2
2
4
11
7
3
UK MOD 2022
7
1
1
10
4
4
4
7
16
HLEG 2018
15
3
6
35
13
11
4
10
8
Google 2018
4
1
1
8
1
5
2
7
1
Russia 2022
11
4
2
7
2
4
6
8
13
UNI Global Union 2017
7
1
2
2
12
5
2
2
11
Russia 2021
12
4
2
7
3
5
6
9
14
EC 2019
2
2
4
11
9
6
3
9
5
Montreal 2017
5
1
2
4
2
9
1
6
JSAI 2017
8
2
5
1
3
2
7
3
PDPC Compilation 2020
6
1
1
5
4
2
2
8
Intel 2017
1
1
4
2
8
5
6
3
ICDPPC 2018
12
1
2
9
10
16
2
3
Telefonica 2018
1
1
1
8
4
10
5
2
IEEE 2017
13
1
1
8
5
3
6
8
Aotearoa 2020
4
1
1
5
5
3
2
2
Tencent 2018
5
2
6
8
4
4
7
2
Tsinghua CISS 2019
4
1
3
1
3
1
2
1
HAIP 2018
15
2
4
5
5
7
3
2
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
Deutsche Telekom 2018
4
4
2
4
4
4
6
9
DoDDIB 2019
1
1
1
3
1
2
2
The Public Voice 2018
1
12
4
4
5
8
13
Tieto 2018
2
2
3
2
1
1
1
SAP 2018
2
6
6
2
7
2
6
Alan Turing Inst 2019
2
2
4
3
1
1
3
IA Latam 2019
3
4
2
2
1
2
1
House of Lords 2018
4
1
4
4
2
3
1
GER DEC 2019
4
3
1
3
3
3
1
COMEST 2019
2
1
1
4
1
1
3
Megvii 2019
1
3
1
2
4
2
3
CIGI 2018
1
4
5
3
3
12
5
DeepMind 2017
1
4
1
1
2
2
US DoD 2020
1
1
3
1
2
2
ITechLaw 2019
1
5
4
3
2
6
Samsung 2019
1
3
3
1
1
2
Microsoft 2018
1
1
2
2
2
2
NATO 2021
1
2
2
1
4
5
Rome Call 2020
1
2
3
2
2
2
Vodafone 2019
2
1
1
2
2
2
PAI 2016
1
3
1
1
2
2
OpenAI 2018
4
2
1
1
8
12
FATML 2016
1
3
3
3
7
Canada 2019
2
1
1
1
2
USACM 2017
4
4
2
5
3
Unity 2018
2
2
1
1
2
IEEE 2019
4
1
1
2
1
IBE 2018
1
5
5
5
7
The Future Society 2017
4
2
2
3
3
TBS Canada 2018
1
2
1
1
1
NYTimes 2019
1
2
2
1
2
South Korea 2020
2
1
1
1
1
ADP 2018
4
8
1
1
1
IBM 2017
1
1
1
2
IBM 2018b
1
2
1
2
IBM 2018a
1
1
1
5
PDPC 2019
1
2
4
1
GE Healthcare 2018
1
2
1
2
Adobe 2021
4
2
1
3
Russia 2019
2
1
3
2
OP Financial 2018
2
4
1
Sage 2017
1
1
3
US AI Initiative 2019
1
1
2
Baidu 2018
2
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
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
Montreal 2018
1
3
1
1
3
2
1
6
2
1
2
2
6
2
2
2
1
2
7
WHO 2021
1
2
1
3
1
3
5
9
3
11
7
3
2
6
6
2
5
2
4
3
13
UNICEF 2020
2
3
1
1
1
1
1
1
1
2
4
2
2
1
3
1
1
1
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
Telia 2019
2
1
1
2
2
4
1
1
2
2
1
1
1
3
1
4
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
OECD 2019
2
1
2
1
1
2
1
1
4
2
4
1
2
1
2
1
5
3
6
1
2
5
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
ITI 2017
1
1
1
7
1
1
4
1
2
3
1
2
1
6
2
3
1
2
1
11
G20 2019
3
1
2
1
1
2
1
1
4
2
4
1
2
1
2
1
5
3
6
1
2
6
FLI 2017
2
2
3
1
1
2
4
1
3
1
3
1
1
1
4
1
1
2
3
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
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
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
Nadella 2016
3
1
4
2
1
1
1
1
1
1
1
1
3
Sony 2018
2
1
2
1
1
1
1
1
2
2
1
1
Australia 2019
4
1
3
1
1
3
4
1
3
1
6
5
4
1
1
1
6
8
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
Shanghai YoungAI 2019
4
1
1
3
1
1
5
1
1
3
2
2
2
1
2
4
SHAIISEAC 2019
1
1
1
1
1
1
1
1
4
11
7
3
UK MOD 2022
3
3
1
1
1
1
7
2
2
1
1
4
4
1
1
5
5
11
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
Google 2018
1
1
1
1
1
1
4
1
3
1
3
1
1
2
4
2
1
1
Russia 2022
6
2
3
4
1
1
2
5
2
3
1
6
3
3
2
13
UNI Global Union 2017
3
1
3
1
1
1
2
11
1
4
1
2
1
1
4
7
Russia 2021
5
4
3
2
2
1
1
2
5
3
4
1
6
4
3
2
14
EC 2019
2
2
4
2
1
5
3
3
3
2
1
5
1
3
5
1
3
2
3
Montreal 2017
1
4
1
1
1
2
2
1
1
6
3
1
6
JSAI 2017
6
1
1
2
3
1
1
1
3
1
1
4
1
2
1
2
PDPC Compilation 2020
2
1
2
1
1
1
2
1
2
2
1
1
2
1
1
4
4
Intel 2017
1
1
2
2
1
1
8
5
6
3
ICDPPC 2018
6
1
2
1
2
1
1
1
2
3
4
5
1
2
2
15
1
1
1
2
1
Telefonica 2018
1
1
1
4
2
2
3
1
10
4
1
1
1
IEEE 2017
5
3
1
1
3
1
1
6
1
1
3
2
3
3
1
1
1
4
4
Aotearoa 2020
1
2
1
1
1
2
2
1
2
1
1
1
2
1
2
2
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
HAIP 2018
15
2
4
5
4
1
6
1
3
1
1
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
Deutsche Telekom 2018
4
1
2
1
2
1
2
1
3
1
4
6
9
DoDDIB 2019
1
1
1
1
1
1
1
1
1
2
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
SAP 2018
2
3
2
1
1
4
1
2
7
2
4
1
1
Alan Turing Inst 2019
2
2
1
1
2
1
1
1
1
1
2
1
IA Latam 2019
1
1
1
3
1
1
1
2
1
1
1
1
House of Lords 2018
1
1
2
1
2
2
1
2
1
2
3
1
GER DEC 2019
2
2
3
1
2
1
3
3
1
COMEST 2019
2
1
1
2
2
1
1
2
1
Megvii 2019
1
1
2
1
2
4
1
1
2
1
CIGI 2018
1
1
2
1
5
3
3
3
2
5
2
3
2
DeepMind 2017
1
3
1
1
1
2
2
US DoD 2020
1
1
1
1
1
1
1
1
2
ITechLaw 2019
1
3
2
2
2
3
2
3
3
Samsung 2019
1
2
1
2
1
1
1
1
1
Microsoft 2018
1
1
2
2
2
2
NATO 2021
1
2
1
1
1
1
1
1
1
2
3
Rome Call 2020
1
1
1
2
1
2
2
2
Vodafone 2019
2
1
1
2
2
1
1
PAI 2016
1
1
1
1
1
1
2
1
1
OpenAI 2018
3
1
2
1
1
8
12
FATML 2016
1
1
1
1
2
1
1
2
4
3
Canada 2019
2
1
1
1
2
USACM 2017
3
1
1
1
2
1
1
2
3
2
1
Unity 2018
1
1
1
1
1
1
1
1
IEEE 2019
2
2
1
1
2
1
IBE 2018
1
3
1
1
2
3
5
2
5
The Future Society 2017
2
2
2
2
2
1
2
1
TBS Canada 2018
1
1
1
1
1
1
NYTimes 2019
1
2
2
1
2
South Korea 2020
1
1
1
1
1
1
ADP 2018
1
2
1
8
1
1
1
IBM 2017
1
1
1
1
1
IBM 2018b
1
1
1
1
1
1
IBM 2018a
1
1
1
3
2
PDPC 2019
1
2
2
2
1
GE Healthcare 2018
1
1
1
1
2
Adobe 2021
1
2
1
1
1
1
2
1
Russia 2019
2
1
2
1
2
OP Financial 2018
2
4
1
Sage 2017
1
1
2
1
US AI Initiative 2019
1
1
1
1
Baidu 2018
1
1
1
1
1
Etzioni 2017
1
1
Stanford 2018
1

Contact

Institute of Automation, Chinese Academy of Sciences
95 Zhongguancun East Road,
Haidian District, Beijing,
China 100190
Principal Investigator - Yi Zeng
yi.zeng@ia.ac.cn

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

Copyright © 2018-
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
All Rights Reserved