L A I P   –

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 84 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
NGCNGAI 2019
10
1
4
5
6
3
6
1
7
4
1
Beijing 2019
17
1
2
5
3
5
3
2
3
2
4
AIIA 2019
11
1
1
3
7
7
4
6
10
4
WHO 2021
4
3
1
8
12
23
12
2
11
16
UNICEF 2020
5
1
2
2
4
6
2
1
4
2
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
Montreal 2018
6
3
2
7
3
4
8
2
5
7
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
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
HLEG 2018
15
3
6
35
13
11
4
10
8
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
Nadella 2016
8
2
1
2
2
1
1
1
3
Australia 2019
9
1
3
5
4
6
5
7
14
SHAIISEAC 2019
2
1
1
2
2
4
11
7
3
Shanghai YoungAI 2019
4
1
1
5
7
3
2
5
6
Google 2018
4
1
1
8
1
5
2
7
1
Sony 2018
3
2
1
2
2
2
2
1
1
UNI Global Union 2017
7
1
2
2
12
5
2
2
11
EC 2019
2
2
4
11
9
6
3
9
5
Aotearoa 2020
4
1
1
5
5
3
2
2
Deutsche Telekom 2018
4
4
2
4
4
4
6
9
Telefonica 2018
1
1
1
8
4
10
5
2
PDPC Compilation 2020
6
1
1
5
4
2
2
8
Tencent 2018
5
2
6
8
4
4
7
2
Tsinghua CISS 2019
4
1
3
1
3
1
2
1
Montreal 2017
5
1
2
4
2
9
1
6
US IC 2020
3
1
1
1
3
2
5
2
JSAI 2017
8
2
5
1
3
2
7
3
US OSTP 2020
1
2
11
10
4
8
7
4
Intel 2017
1
1
4
2
8
5
6
3
IEEE 2017
13
1
1
8
5
3
6
8
HAIP 2018
15
2
4
5
5
7
3
2
ICDPPC 2018
12
1
2
9
10
16
2
3
SAP 2018
2
6
6
2
7
2
6
IA Latam 2019
3
4
2
2
1
2
1
House of Lords 2018
4
1
4
4
2
3
1
COMEST 2019
2
1
1
4
1
1
3
Alan Turing Inst 2019
2
2
4
3
1
1
3
The Public Voice 2018
1
12
4
4
5
8
13
Tieto 2018
2
2
3
2
1
1
1
DoDDIB 2019
1
1
1
3
1
2
2
Megvii 2019
1
3
1
2
4
2
3
CIGI 2018
1
4
5
3
3
12
5
US DoD 2020
1
1
3
1
2
2
DeepMind 2017
1
4
1
1
2
2
Vodafone 2019
2
1
1
2
2
2
Samsung 2019
1
3
3
1
1
2
ITechLaw 2019
1
5
4
3
2
6
Rome Call 2020
1
2
3
2
2
2
PAI 2016
1
2
1
1
2
2
OpenAI 2018
4
2
1
1
8
12
Microsoft 2018
1
1
2
2
2
2
ADP 2018
4
8
1
1
1
IEEE 2019
4
1
1
2
1
Unity 2018
2
2
1
1
2
USACM 2017
4
4
2
5
3
Canada 2019
2
1
1
1
2
NYTimes 2019
1
2
2
1
2
The Future Society 2017
4
2
2
3
3
FATML 2016
1
3
3
3
7
TBS Canada 2018
1
2
1
1
1
South Korea 2020
2
1
1
1
1
IBE 2018
1
5
5
5
7
IBM 2017
1
1
1
2
IBM 2018a
1
1
1
5
Adobe 2021
4
2
1
3
IBM 2018b
1
2
1
2
GE Healthcare 2018
1
2
1
2
PDPC 2019
1
2
4
1
Russia 2019
2
1
3
2
OP Financial 2018
2
4
1
US AI Initiative 2019
1
1
2
Baidu 2018
2
1
2
Sage 2017
1
1
3
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
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
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
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
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
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
Montreal 2018
1
3
1
1
3
2
1
6
2
1
2
2
6
2
2
2
1
2
7
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
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
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
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
Nadella 2016
3
1
4
2
1
1
1
1
1
1
1
1
3
Australia 2019
4
1
3
1
1
3
4
1
3
1
6
5
4
1
1
1
6
8
SHAIISEAC 2019
1
1
1
1
1
1
1
1
4
11
7
3
Shanghai YoungAI 2019
4
1
1
3
1
1
5
1
1
3
2
2
2
1
2
4
Google 2018
1
1
1
1
1
1
4
1
3
1
3
1
1
2
4
2
1
1
Sony 2018
2
1
2
1
1
1
1
1
2
2
1
1
UNI Global Union 2017
3
1
3
1
1
1
2
11
1
4
1
2
1
1
4
7
EC 2019
2
2
4
2
1
5
3
3
3
2
1
5
1
3
5
1
3
2
3
Aotearoa 2020
1
2
1
1
1
2
2
1
2
1
1
1
2
1
2
2
Deutsche Telekom 2018
4
1
2
1
2
1
2
1
3
1
4
6
9
Telefonica 2018
1
1
1
4
2
2
3
1
10
4
1
1
1
PDPC Compilation 2020
2
1
2
1
1
1
2
1
2
2
1
1
2
1
1
4
4
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
Montreal 2017
1
4
1
1
1
2
2
1
1
6
3
1
6
US IC 2020
1
1
1
1
1
1
3
1
1
5
2
JSAI 2017
6
1
1
2
3
1
1
1
3
1
1
4
1
2
1
2
US OSTP 2020
1
1
1
3
2
6
8
2
4
7
1
6
1
3
1
Intel 2017
1
1
2
2
1
1
8
5
6
3
IEEE 2017
5
3
1
1
3
1
1
6
1
1
3
2
3
3
1
1
1
4
4
HAIP 2018
15
2
4
5
4
1
6
1
3
1
1
ICDPPC 2018
6
1
2
1
2
1
1
1
2
3
4
5
1
2
2
15
1
1
1
2
1
SAP 2018
2
3
2
1
1
4
1
2
7
2
4
1
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
COMEST 2019
2
1
1
2
2
1
1
2
1
Alan Turing Inst 2019
2
2
1
1
2
1
1
1
1
1
2
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
DoDDIB 2019
1
1
1
1
1
1
1
1
1
2
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
US DoD 2020
1
1
1
1
1
1
1
1
2
DeepMind 2017
1
3
1
1
1
2
2
Vodafone 2019
2
1
1
2
2
1
1
Samsung 2019
1
2
1
2
1
1
1
1
1
ITechLaw 2019
1
3
2
2
2
3
2
3
3
Rome Call 2020
1
1
1
2
1
2
2
2
PAI 2016
1
1
1
1
1
2
1
1
OpenAI 2018
3
1
2
1
1
8
12
Microsoft 2018
1
1
2
2
2
2
ADP 2018
1
2
1
8
1
1
1
IEEE 2019
2
2
1
1
2
1
Unity 2018
1
1
1
1
1
1
1
1
USACM 2017
3
1
1
1
2
1
1
2
3
2
1
Canada 2019
2
1
1
1
2
NYTimes 2019
1
2
2
1
2
The Future Society 2017
2
2
2
2
2
1
2
1
FATML 2016
1
1
1
1
2
1
1
2
4
3
TBS Canada 2018
1
1
1
1
1
1
South Korea 2020
1
1
1
1
1
1
IBE 2018
1
3
1
1
2
3
5
2
5
IBM 2017
1
1
1
1
1
IBM 2018a
1
1
1
3
2
Adobe 2021
1
2
1
1
1
1
2
1
IBM 2018b
1
1
1
1
1
1
GE Healthcare 2018
1
1
1
1
2
PDPC 2019
1
2
2
2
1
Russia 2019
2
1
2
1
2
OP Financial 2018
2
4
1
US AI Initiative 2019
1
1
1
1
Baidu 2018
1
1
1
1
1
Sage 2017
1
1
2
1
Etzioni 2017
1
1
Stanford 2018
1