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Are AI rules something we create once and never change?
In reality,
AI technology and its usage
change very quickly.
In this episode,
we explore continuous improvement and communication
in AIMS (AI Management Systems).
AIMS encourages organizations
to improve their AI practices
using the PDCA cycle:
This cycle helps organizations
adapt to new risks,
new technologies,
and new expectations.
Communication is also essential.
Organizations should explain AI rules clearly,
listen to feedback,
and share lessons learned.
This episode highlights an important mindset:
๐ AI rules are not finished once they are written.They should grow and improve over time.
By Yossy's Security & AI Lab _GlobalAre AI rules something we create once and never change?
In reality,
AI technology and its usage
change very quickly.
In this episode,
we explore continuous improvement and communication
in AIMS (AI Management Systems).
AIMS encourages organizations
to improve their AI practices
using the PDCA cycle:
This cycle helps organizations
adapt to new risks,
new technologies,
and new expectations.
Communication is also essential.
Organizations should explain AI rules clearly,
listen to feedback,
and share lessons learned.
This episode highlights an important mindset:
๐ AI rules are not finished once they are written.They should grow and improve over time.