Linking Artificial Intelligence Principles (LAIP)

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 shows the general topics mentioned in different principle proposals.

 
humanity collaboration share fairness transparency privacy security safety accountability AGI
Smart Dubai 2019 13 3 1 4 4 6 6 7 2 5
FLI 2017 9 2 4 1 4 4 2 6 2 1
Cabinet Office 2018 22 5 5 12 2 12 6 4 3
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
EGE 2018 14 3 5 9 2 10 5 8 6
HAIP 2018 5 2 4 5 5 7 3 2
UNI Global Union 2017 7 2 2 12 5 2 2 11
Tencent 2018 5 2 6 8 4 4 8 2
Sony 2018 3 1 2 2 2 2 1 1
Deutsche Telekom 2018 4 4 2 4 4 4 6 9
Montreal 2017 3 1 2 4 2 9 1 6
EC 2019 2 4 11 9 6 3 9 5
JSAI 2017 6 2 5 1 3 2 7 3
Intel 2017 1 1 4 2 8 5 6 3
IEEE 2017 13 1 1 8 5 3 6 8
HLEG 2018 13 6 35 13 11 4 10 8
SAP 2018 2 6 6 2 6 2 6
The Public Voice 2018 1 12 4 4 5 8 13
Telefonica 2018 1 1 8 4 10 5 2
House of Lords 2018 4 1 4 4 2 3 1
DeepMind 2017 1 4 1 1 2 2
OpenAI 2018 4 2 1 1 8 12
PAI 2016 1 3 1 1 2 2
Microsoft 2018 1 1 2 2 2 2
Unity 2018 2 2 1 1 2
IBE 2018 1 5 5 5 7
USACM 2017 4 4 2 5 3
The Future Society 2017 4 2 2 3 3
IBM 2017 1 1 1 2
IBM 2018a 1 1 1 5
GE Healthcare 2018 1 2 1 2
Baidu 2018 1 1 2
Sage 2017 1 1 3
IBM 2018b 2 1 2
Etzioni 2017 1 1
PDPC 2019 1 2
Stanford 2018 1