Don't miss an insight. Subscribe to Techopedia for free.


How are chatbots trained?

By David Delony | Last updated: August 20, 2018

Nearly everyone has interacted with a chatbot, either through personal assistants like Apple’s Siri or through customer service departments, but how do they seem so smart? There are several ways AI developers can train these bots to give realistic responses.

The simplest way to design a bot is to have it respond to a preprogrammed range of responses. This was the approach used by Joseph Weizenbaum’s (1923-2008) ELIZA program developed in the 1960s.

ELIZA was intended to simulate a Rogerian psychotherapist. The program could only respond according to preprogrammed “scripts,” but many users found the effect so realistic that they insisted that ELIZA really was intelligent.

This has been dubbed the “ELIZA Effect.”

Research in AI has allowed for far more sophisticated approaches to developing chatbots, which allow them to “learn” from both training data provided by developers and from user input.

Let’s take the example of a chatbot used for the customer service department of a software company. The bot will first be fed information from the company’s own resources: documentation, FAQs, emails, chat transcripts, to start out with.

The bot won’t just be limited to whatever developers give it, the way ELIZA was. It will be able to learn from real interactions with customers using natural language processing (NLP).

Even with automated learning, there will still be areas where bots run into trouble. Humans will have to train the bot occasionally using supervised learning. Given the ambiguity in human languages, it will be hard to build a chatbot that could run completely unsupervised.

A human user will also likely have to check a chatbot’s result for accuracy, especially in a business context. Still, these chatbots will be more flexible than a purely rules-based program like ELIZA.

Advances in machine learning and natural language processing could make these chatbots appear even more intelligent in the future.

Share this Q&A

  • Facebook
  • LinkedIn
  • Twitter


Artificial Intelligence Emerging Technology Machine Learning Software Bots

Written by David Delony | Contributor

Profile Picture of David Delony
David Delony is a Bay Area expatriate living in Ashland, Oregon, where he combines his love of words and technology in his career as a freelance writer. He's covered everything from TV commercials to video games. David holds a B.A. in communication from California Sate University, East Bay.

More Q&As from our experts

Related Terms

Related Articles

Term of the Day

Explainable AI

Explainable AI (XAI) is artificial intelligence that can document how specific outcomes were generated in such a way that...
Read Full Term

Tech moves fast! Stay ahead of the curve with Techopedia!

Join nearly 200,000 subscribers who receive actionable tech insights from Techopedia.

Go back to top