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. For organizations considering the use of agentic AI, it's recommended to view the model from the perspective of complex systems rather than complicated ones.
Complex vs Complicated Systems
The distinction between complex and complicated systems is crucial. Complicated systems, like those in computer science, involve cause-and-effect relationships that can be controlled from an engineering perspective.
In contrast, complex systems, such as those studied in anthropology, involve variables that cannot be fully controlled. Instead, focus is placed on "factors" that influence outcomes.
Accepting 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 nuanced approach.