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 74 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
Smart Dubai 2019
13
3
1
4
4
6
6
7
2
6
NGCNGAI 2019
11
4
5
6
3
6
1
7
4
1
Beijing 2019
14
2
5
3
5
3
2
3
2
4
FLI 2017
9
2
4
1
4
4
2
6
2
4
ITI 2017
11
5
3
3
1
3
8
6
12
SHAIISEAC 2019
1
1
1
2
2
4
11
7
3
OECD 2019
9
2
6
8
3
5
3
7
7
Google 2018
4
1
1
8
1
5
2
7
1
G20 2019
10
2
6
8
3
5
3
7
8
Telia 2019
3
3
2
6
4
1
1
4
5
EGE 2018
16
3
5
9
2
10
5
8
6
Nadella 2016
8
2
1
2
2
1
1
1
3
Internet Society 2017
1
3
1
2
4
3
7
10
7
Cabinet Office 2018
28
5
5
12
2
13
6
4
3
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
AIIA 2019
12
1
3
7
7
4
6
10
4
Montreal 2017
5
1
2
4
2
9
1
6
Intel 2017
1
1
4
2
8
5
6
3
IEEE 2017
13
1
1
8
5
3
6
8
JSAI 2017
6
2
5
1
3
2
7
3
ICDPPC 2018
12
1
2
9
10
16
2
3
HLEG 2018
18
6
35
13
11
4
10
8
Australia 2019
10
3
5
4
6
5
7
14
US OSTP 2020
1
2
11
10
4
8
7
4
UNI Global Union 2017
8
2
2
12
5
2
2
11
Tsinghua CISS 2019
3
1
3
1
3
1
2
1
Deutsche Telekom 2018
4
4
2
4
4
4
6
9
Tencent 2018
5
2
6
8
4
4
7
2
EC 2019
4
4
11
9
6
3
9
5
Sony 2018
5
1
2
2
2
2
1
1
HAIP 2018
15
2
4
5
5
7
3
2
Shanghai YoungAI 2019
5
1
5
7
3
2
5
6
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
PDPC Compilation 2020
7
1
5
4
2
2
8
SAP 2018
2
6
6
2
7
2
6
Alan Turing Inst 2019
2
2
4
3
1
1
3
Megvii 2019
1
3
1
2
4
2
3
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
OpenAI 2018
4
2
1
1
8
12
PAI 2016
1
3
1
1
2
2
US DoD 2020
1
1
3
1
2
2
Rome Call 2020
1
2
3
2
2
2
Microsoft 2018
1
1
2
2
2
2
COMEST 2019
3
1
4
1
1
3
DeepMind 2017
1
4
1
1
2
2
Samsung 2019
1
3
3
1
1
2
Unity 2018
2
2
1
1
2
USACM 2017
4
4
2
5
3
Canada 2019
2
1
1
1
2
The Future Society 2017
4
2
2
3
3
NYTimes 2019
1
2
2
1
2
FATML 2016
1
3
3
3
7
TBS Canada 2018
1
2
1
1
1
IEEE 2019
4
1
1
2
1
IBE 2018
1
5
5
5
7
GE Healthcare 2018
1
2
1
2
IBM 2018b
1
2
1
2
IBM 2017
1
1
1
2
Russia 2019
2
1
3
2
IBM 2018a
1
1
1
5
PDPC 2019
1
2
4
1
Sage 2017
1
1
3
US AI Initiative 2019
1
1
2
Baidu 2018
1
1
2
OP Financial 2018
2
4
1
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
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
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
4
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
ITI 2017
1
1
1
7
1
1
4
1
2
3
1
2
1
6
2
3
1
2
1
11
SHAIISEAC 2019
1
1
1
1
1
1
1
4
11
7
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
Google 2018
1
1
1
1
1
1
4
1
3
1
3
1
1
2
4
2
1
1
G20 2019
3
1
2
1
1
2
1
1
4
2
4
1
2
1
2
1
5
3
6
1
2
6
Telia 2019
2
1
1
2
2
4
1
1
2
2
1
1
1
3
1
4
EGE 2018
4
1
4
4
1
2
2
1
1
4
4
3
1
1
1
1
7
3
4
1
7
1
2
4
Nadella 2016
3
1
4
2
1
1
1
1
1
1
1
1
3
Internet Society 2017
1
1
2
1
1
1
3
1
3
7
7
2
1
2
5
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
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
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
Montreal 2017
1
4
1
1
1
2
2
1
1
6
3
1
6
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
JSAI 2017
4
1
1
2
3
1
1
1
3
1
1
4
1
2
1
2
ICDPPC 2018
6
1
2
1
2
1
1
1
2
3
4
5
1
2
2
15
1
1
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
Australia 2019
4
1
3
1
1
3
4
1
3
1
6
5
4
1
1
1
6
8
US OSTP 2020
1
1
1
3
2
6
8
2
4
7
1
6
1
3
1
UNI Global Union 2017
3
1
3
1
1
1
2
11
1
4
1
2
1
1
4
7
Tsinghua CISS 2019
2
1
1
2
1
1
2
1
1
2
1
Deutsche Telekom 2018
4
1
2
1
2
1
2
1
3
1
4
6
9
Tencent 2018
1
1
1
2
1
1
1
3
2
5
1
2
4
3
1
1
2
2
2
1
1
EC 2019
2
2
4
2
1
5
3
3
3
2
1
5
1
3
5
1
3
2
3
Sony 2018
2
1
2
1
1
1
1
1
2
2
1
1
HAIP 2018
15
2
4
5
4
1
6
1
3
1
1
Shanghai YoungAI 2019
4
1
1
3
1
1
5
1
1
3
2
2
2
1
2
4
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
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
Alan Turing Inst 2019
2
2
1
1
2
1
1
1
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
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
OpenAI 2018
3
1
2
1
1
8
12
PAI 2016
1
1
1
1
1
1
2
1
1
US DoD 2020
1
1
1
1
1
1
1
1
2
Rome Call 2020
1
1
1
2
1
2
2
2
Microsoft 2018
1
1
2
2
2
2
COMEST 2019
2
1
1
2
2
1
1
2
1
DeepMind 2017
1
3
1
1
1
2
2
Samsung 2019
1
2
1
2
1
1
1
1
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
The Future Society 2017
2
2
2
2
2
1
2
1
NYTimes 2019
1
2
2
1
2
FATML 2016
1
1
1
1
2
1
1
2
4
3
TBS Canada 2018
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
GE Healthcare 2018
1
1
1
1
2
IBM 2018b
1
1
1
1
1
1
IBM 2017
1
1
1
1
1
Russia 2019
2
1
2
1
2
IBM 2018a
1
1
1
3
2
PDPC 2019
1
2
2
2
1
Sage 2017
1
1
2
1
US AI Initiative 2019
1
1
1
1
Baidu 2018
1
1
1
1
OP Financial 2018
2
4
1
Etzioni 2017
1
1
Stanford 2018
1