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Chatbots can be good: What we learn from unhappy users

Speaker: Rachael Tatman

It’s no secret that chatbots have a bad reputation: no one enjoys a cyclical, frustrating conversation when all you need is a quick answer to an urgent question. But chatbots can, in fact, be good. Having bad conversations can help us get there before they’re ever deployed. This talk will draw on both academic and industry knowledge to discuss problems like: What do users’ reactions to unsuccessful systems tell us about what successful systems should look like? Are we evaluating the right things… or the easy to measure things? Do we really have to look at user data? If so, when and how often? When, if ever, should we retire old methods?

𝗛𝗼𝘄 𝗰𝗮𝗻 𝘆𝗼𝘂 𝗷𝗼𝗶𝗻?
Register here.
(Registration closes 2 hours before the beginning of the seminar).

Speaker bio

Rachael Tatman has her PhD in computational sociolinguistics from the University of Washington, where her research primarily focused on sub-lexical units in speech, text and sign as well as ethics in NLP. After graduating she moved into industry, working as a data scientist at Kaggle and a developer advocate at Google. Currently she's a senior developer advocate at Rasa, where she supports their open source chatbot development framework.



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