Agentic AI refers to artificial intelligence systems designed with a level of autonomy or self-directed decision-making, enabling them to perform tasks and make choices without human intervention. Unlike passive AI systems that simply follow programmed instructions or respond to user inputs, agentic AI systems have the capability to analyze situations, set goals, and take initiative based on predefined criteria or learned experiences. This type of AI holds potential for dynamic applications but also raises ethical considerations around accountability and control.

The key characteristics of Agentic AI include:

Autonomy: Operates independently, without constant human guidance.
Goal-Oriented: Sets and pursues objectives based on programmed or learned priorities.
Adaptability: Learns from experiences to improve decision-making.
Decision-Making Capacity: Analyzes information to make informed choices.
Proactivity: Initiates actions based on its goals, rather than waiting for prompts.

These features enable agentic AI to perform complex tasks but also bring ethical challenges, especially around accountability and safety.

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