Understanding Agentic AI
Agentic AI is complex, not complicated. To thrive in this new world of AI, it's essential to understand the difference between deterministic and non-deterministic systems.
There is a growing interest and concern around the use of AI agents, and organizations are grappling with whether and how to use agentic AI. Considering the model from the perspective of complex systems is recommended.
Complex vs Complicated Systems
The distinction between complex and complicated systems is crucial. Computer science deals with complicated systems, where cause and effect are related from an engineering perspective. In contrast, anthropology involves complex systems, where controlling every variable is impossible, and the focus shifts to "factors".
Accepting the fact that agentic AI is complex rather than complicated will be key to harnessing its power and applying necessary protections and controls.
Author's summary: Agentic AI is complex, requiring a new perspective.
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