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What is Feedback Loop

A process where output is used to improve performance. Learn what feedback loop is and understand the fundamentals of artificial intelligence.

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By AI Glossary Team

Published: May 21, 2026

What is Feedback Loop?

A feedback loop is a process where the output of a system is used to improve its performance. It’s like a cycle where the system tries something, gets a result, and then uses that result to try something better. Think of it like a learning process. The system gets feedback on how well it did, and then it uses that feedback to make adjustments and try again. This cycle can repeat many times, helping the system get better and better at what it does. For example, imagine you’re trying to learn how to make the perfect cup of coffee. You try a recipe, taste the coffee, and then use what you learned from tasting it to make adjustments to the recipe for the next time.

Think of It Like This

Imagine you’re learning to play a musical instrument. You play a note, hear how it sounds, and then adjust your finger placement to get a better sound. This is a simple feedback loop. You’re trying something, getting feedback on how it sounds, and then using that feedback to make adjustments and try again. Another example is a thermostat in your home. It checks the temperature, compares it to the desired temperature, and then adjusts the heating or cooling system to get closer to the desired temperature. This is a feedback loop in action, helping to keep your home at a comfortable temperature.

Why Should You Care?

Feedback loops matter because they help systems improve over time. This can affect your daily life in many ways. For example, feedback loops are used in virtual assistants like Siri or Alexa to help them understand your voice and respond more accurately. They’re also used in recommendation systems like Netflix or Spotify to help suggest movies or music that you’ll enjoy. By using feedback loops, these systems can learn and improve over time, making them more useful and helpful to you. Feedback loops can even be used in self-driving cars to help them learn from their experiences and become safer and more efficient.

Where You’ve Already Seen It

You’ve probably already seen feedback loops in action in many of the tools and apps you use every day. For example, Google’s search algorithm uses a feedback loop to improve its search results. It shows you a list of results, you click on one, and then it uses that click to adjust its results for the next time someone searches for the same thing. Another example is Facebook’s news feed algorithm, which uses a feedback loop to show you posts that it thinks you’ll be most interested in. It shows you a post, you like or comment on it, and then it uses that feedback to adjust its algorithm and show you more posts like that in the future. Even your smartphone’s autocorrect feature uses a feedback loop to learn from your typing habits and make better suggestions over time.

The One Thing to Remember

The key thing to remember about feedback loops is that they’re a cycle of trying, getting feedback, and then adjusting to try again. This cycle helps systems improve over time, making them more useful and helpful to you. Feedback loops are all around us, and they play a big role in many of the technologies that we use every day.

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