Conversation AI

Conversation AI is a collaborative research effort exploring ML as a tool for better discussions online.

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Research resources

This page outlines the high level questions we are exploring. Further related research can be found on the WikiDetox outline of related work.

We also have a page that provides a brief introduction to ML to help make this research easier to understand.

How might machine learning methods help online conversations?

How can machine learning enable us understand harassment at scale?

What role does toxic language have in reducing the number of viewpoints in a discussion?

What tools are needed to make robust open debate on important issues easier at scale?

How might machine learning based tool be used by communities, commenters and authors?

What aspects of a conversation can machine learning understand?

Can machine learning methods understand the emotional impact of language?

How much of the structure of a conversation can machine learning approaches uncover?

What are the risks and challenges of using machine learning to assist online conversations?

What unintended and unfair biases might machine learning models contain? What impact might such biases have? What are the best ways to identify these biases? and what can be done mitigate them?

How might machine learning based tool be gamed?

How might ML be misused to censor or reduce viewpoints in a conversation?