Explanation
Imagine a self-driving car navigating a busy city street. Most of the time, the AI can handle the driving perfectly well, making decisions based on its training data.
But what happens when it encounters an unexpected situation, like a fallen tree blocking the road or a confusingly marked detour? That's where the human comes in.
Human-in-the-Loop (HITL) AI refers to AI systems that require human intervention to make decisions or provide feedback, especially in situations where the AI is uncertain or faces novel challenges.
It's a collaborative approach, where AI handles routine tasks and humans step in to provide guidance, validation, or correction.
Think of it as a partnership between humans and machines, leveraging the strengths of both to achieve better outcomes.
Examples
Consumer Example
Consider a chatbot providing customer service. While the AI can answer many common questions automatically, it may encounter complex or unusual queries that it can't handle.
In these cases, the chatbot seamlessly transfers the conversation to a human agent, who can provide more personalised assistance. It's like having a helpful assistant that knows when to call in the experts.
Business Example
Imagine a bank using AI to detect fraudulent transactions. The AI can flag suspicious activity based on patterns and anomalies, but it may not always be accurate.
A human analyst then reviews the flagged transactions to determine whether they are genuinely fraudulent or simply unusual, preventing false positives and ensuring that legitimate transactions are not blocked. It's like having a vigilant security system backed up by human judgment.