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 synthesizing, linking, and analyzing various Artificial Intelligence Principles 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 50 proposals) from the perspective of coarser topics, which shows mainly on the consensus of various proposals.

humanity collaboration share fairness transparency privacy security safety accountability long term AI
Smart Dubai 2019 13 3 1 4 4 6 6 7 2 6
Beijing 2019 12 2 5 3 5 3 2 3 2 4
NGCNGAI 2019 9 4 5 6 3 6 1 7 4 1
FLI 2017 9 2 4 1 4 4 2 6 2 4
AIIA 2019 11 1 3 7 7 4 6 10 4
SHAIISEAC 2019 1 1 2 2 4 3 6 3
OECD 2019 6 2 6 8 3 5 3 7 7
Nadella 2016 6 2 1 2 2 1 1 1 3
Montreal 2018 6 2 7 3 4 8 2 5 7
MIC 2018 5 8 3 5 7 17 13 4 5
MIC 2017 6 4 2 4 4 15 12 23 3
ITI 2017 10 5 3 3 1 3 8 6 12
Google 2018 4 1 1 8 1 5 2 7 1
G20 2019 7 2 6 8 3 5 3 7 8
Cabinet Office 2018 22 5 5 12 2 13 6 4 3
EGE 2018 14 3 5 9 2 10 5 8 6
EC 2019 2 4 11 9 6 3 9 5
Shanghai YoungAI 2019 4 1 5 5 2 2 4 5
Sony 2018 3 1 2 2 2 2 1 1
Deutsche Telekom 2018 4 4 2 4 4 4 6 9
Montreal 2017 4 1 2 4 2 9 1 6
UNI Global Union 2017 7 2 2 12 5 2 2 11
JSAI 2017 6 2 5 1 3 2 7 3
Intel 2017 1 1 4 2 8 5 6 3
HAIP 2018 5 2 4 5 5 7 3 2
IEEE 2017 13 1 1 8 5 3 6 8
Tencent 2018 5 2 6 8 4 4 8 2
HLEG 2018 13 6 35 13 11 4 10 8
Tsinghua CISS 2019 3 1 3 1 3 1 2 1
Megvii 2019 1 3 1 2 4 2 3
CIGI 2018 1 4 5 3 3 12 5
The Public Voice 2018 1 12 4 4 5 8 13
SAP 2018 2 6 6 2 7 2 6
Telefonica 2018 1 1 8 4 10 5 2
House of Lords 2018 4 1 4 4 2 3 1
IEEE 2019 6 2 2 3 3 1
PAI 2016 1 3 1 1 2 2
OpenAI 2018 4 2 1 1 8 12
DeepMind 2017 1 4 1 1 2 2
DoDDIB 2019 1 1 3 1 2 2
Microsoft 2018 1 1 2 2 2 2
The Future Society 2017 4 2 2 3 3
USACM 2017 4 4 2 5 3
Unity 2018 2 2 1 1 2
IBE 2018 1 5 5 5 7
IBM 2018a 1 1 1 5
IBM 2017 1 1 1 2
GE Healthcare 2018 1 2 1 2
Sage 2017 1 1 3
IBM 2018b 2 1 2
Baidu 2018 1 1 2
PDPC 2019 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.

humanity beneficial well being dignity freedom education 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
Beijing 2019 3 3 2 1 1 2 2 4 1 1 1 1 1 1 1 1 1 1 2 2 2 1 1 1 1 2 1
NGCNGAI 2019 4 1 2 2 1 2 1 4 1 3 2 1 1 1 1 5 1 1 4 3 1 3 1
FLI 2017 2 2 3 1 1 2 4 1 3 1 3 1 1 1 4 1 1 2 3 1
AIIA 2019 3 2 1 1 4 1 3 3 1 1 2 3 3 1 4 6 5 1 1 1 2 4
SHAIISEAC 2019 1 1 1 1 1 1 4 3 6 3
OECD 2019 1 1 2 1 1 1 1 4 2 4 1 2 1 2 1 5 3 6 1 2 5
Nadella 2016 1 1 4 2 1 1 1 1 1 1 1 1 3
Montreal 2018 1 3 1 1 2 1 6 2 1 2 2 6 2 2 2 1 2 7
MIC 2018 5 4 4 3 2 2 1 1 6 17 12 1 1 3 4 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
ITI 2017 1 1 1 7 1 4 1 2 3 1 2 1 6 2 3 1 2 1 11
Google 2018 1 1 1 1 1 1 4 1 3 1 3 1 1 2 4 2 1 1
G20 2019 2 1 2 1 1 1 1 4 2 4 1 2 1 2 1 5 3 6 1 2 6
Cabinet Office 2018 1 4 1 16 2 1 1 1 3 2 6 2 3 1 2 13 6 3 1 2 1
EGE 2018 4 1 4 4 1 2 1 1 4 4 3 1 1 1 1 7 3 4 1 7 1 2 4
EC 2019 2 4 2 1 5 3 3 3 2 1 5 1 3 5 1 3 2 3
Shanghai YoungAI 2019 4 1 3 1 1 3 1 1 2 2 1 2 1 1 4
Sony 2018 2 1 1 1 1 1 1 2 2 1 1
Deutsche Telekom 2018 4 1 2 1 2 1 2 1 3 1 4 6 9
Montreal 2017 4 1 1 1 2 2 1 1 6 3 1 6
UNI Global Union 2017 3 1 3 1 1 2 11 1 4 1 2 1 1 4 7
JSAI 2017 4 1 1 2 3 1 1 1 3 1 1 4 1 2 1 2
Intel 2017 1 1 2 2 1 1 8 5 6 3
HAIP 2018 5 2 4 5 4 1 6 1 3 1 1
IEEE 2017 5 3 1 1 3 1 1 6 1 1 3 2 3 3 1 1 1 4 4
Tencent 2018 1 1 1 2 1 1 1 3 2 5 1 2 4 3 1 1 2 2 3 1 1
HLEG 2018 2 5 1 4 1 6 6 4 13 11 1 9 1 1 1 1 8 3 3 1 4 2 4 6 2
Tsinghua CISS 2019 2 1 1 2 1 1 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
The Public Voice 2018 1 8 2 2 4 4 5 6 2 8 5
SAP 2018 2 3 2 1 1 4 1 2 7 2 4 1 1
Telefonica 2018 1 1 4 2 2 3 1 10 4 1 1 1
House of Lords 2018 1 1 2 1 2 2 1 2 1 2 3 1
IEEE 2019 3 2 1 2 2 2 1 3 1
PAI 2016 1 1 1 1 1 1 2 1 1
OpenAI 2018 3 1 2 1 1 8 12
DeepMind 2017 1 3 1 1 1 2 2
DoDDIB 2019 1 1 1 1 1 1 1 1 2
Microsoft 2018 1 1 2 2 2 2
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
IBE 2018 1 3 1 1 2 3 5 2 5
IBM 2018a 1 1 1 3 2
IBM 2017 1 1 1 1 1
GE Healthcare 2018 1 1 1 1 2
Sage 2017 1 1 2 1
IBM 2018b 1 1 1 1 1
Baidu 2018 1 1 1 1
PDPC 2019 1 1 1
Etzioni 2017 1 1
Stanford 2018 1