AI Agents: Vague Definition or Precise Tool?
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The Nature of AI Agents
Artificial intelligence agents are designed to achieve specific goals by taking actions iteratively. They constantly assess their progress and adjust their decisions to reach their objectives. To be useful, these agents must be reliable, adaptable, and accurate.
The Ambiguity of the Term "Agent"
The term "agent" has become ubiquitous, used to refer to a variety of systems, whether they are applications on your phone, services on Slack, or tools in banking applications. This generalization has led to confusion, rendering the term both omnipresent and meaningless. There are even agents that send hate mail or delete email inboxes.
The Challenges of Definition
This ambiguity poses a major problem: without a clear definition, it is difficult for professionals to determine the reliability and effectiveness of AI agents. Perceptions vary significantly between marketing, sales, engineering, and management departments, each having its own interpretation of the concept. Some of these definitions are rooted in real use cases, but most oscillate between hype and hope.
A Proposal for Clarification
To address this confusion, NN/G proposes a concrete definition of AI agents, aimed at helping user experience professionals design more effective and reliable interactions for end users.
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