Why AI Needs Human Oversight: Essential Use Cases Explained

Discover why effective AI implementation requires a human touch. Learn the key use cases where human intervention enhances AI performance, from customer support handoffs to quality checks. Understand how smart AI knows when to involve human agents for optimal results.

Why AI Needs Human Oversight: Essential Use Cases Explained
Created time
Jul 15, 2024 11:44 AM
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May 7, 2024
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Counter to the AI Startup Narrative

Counter to the narrative that a lot of AI startups are pushing — a good implementation of AI should include and require a human in the loop.

Not Every AI Interaction Requires Human Intervention

This isn't with every time an AI model — replies to a customer, takes an action, or sends some content.

Valid Use Cases for Human Involvement

There are very valid use cases:
  1. A validation step, e.g. refunding a customer
  1. Handing off to a customer support agent when an AI chatbot can't answer a question.
  1. A quality check, e.g. when reviewing an email drafted by AI before sending it

AI in Customer Support

In the case of customer support, AI today can resolve an incredible ~50-75% of support queries.
But it can't and shouldn't try to solve everything. It should know, intelligently, when to pull in a human agent.

Examples

  • Customer considering cancelling
  • Customer has found a bug
  • Customer needs something only an agent can do

Future Outlook

This list will change in the future, but now a smart AI product knows when to lean on a human for the tasks we're better at.

Start using AI customer support in your business today

Create free AI agent

Written by

Alex Rainey
Alex Rainey

Alex is an experienced CTO and founder who largely focuses on all the technical areas of My AskAI, from AI Engineering, Technical Product Management and overall Platform Development.