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The Evolution of AI Governance - Coggle Diagram
The Evolution of AI Governance
Taxonomy of AI Principles
Fairness
AI must have no bias and benefit everyone
Accountability
There must be legal rules and risk management
Transparency
Humans must be able to understand the AI
Ethics
AI must align with human rights and values
Safety
The system must work reliably and be protected
Privacy
Data must be safe and controlled by the user
Tendencies in AI Regulation
The Boom
Almost no rules existed before 2016
There was a massive spike in regulatory documents immediately after
The Leaders vs. Followers
Western countries and the Tech sector wrote rules first
Other regions and sectors followed later
The Shared Vocabulary
By 2021, over 50% of the documents used the exact same "Big 6" principles to describe their goals
The Meaning Gap
Everyone uses the same words, but they mean different things
The Detail Gap
Corporate documents are generally much more comprehensive and detailed than government documents
Examples
Sanofi
How it shows the Taxonomy
It heavily prioritizes Safety/Security and Ethics
How it shows the Trends
It proves that non-tech sectors (healthcare) caught up to the trend.
Japan
How it shows the Taxonomy
It heavily prioritizes ethics/human centricity and fairness
How it shows the Trends
It shows the Asia-Pacific region as a first and very active adopter along with Western countries.