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Report 910

Associated Incidents

Incident 628 Report
TayBot

Microsoft’s racist chatbot returns with drug-smoking Twitter meltdown
theguardian.com · 2016

Short-lived return saw Tay tweet about smoking drugs in front of the police before suffering a meltdown and being taken offline

This article is more than 3 years old

This article is more than 3 years old

Microsoft’s attempt to converse with millennials using an artificial intelligence bot plugged into Twitter made a short-lived return on Wednesday, before bowing out again in some sort of meltdown.

The learning experiment, which got a crash-course in racism, Holocaust denial and sexism courtesy of Twitter users, was switched back on overnight and appeared to be operating in a more sensible fashion. Microsoft had previously gone through the bot’s tweets and removed the most offensive and vowed only to bring the experiment back online if the company’s engineers could “better anticipate malicious intent that conflicts with our principles and values”.

However, at one point Tay tweeted about taking drugs, in front of the police, no less.

Josh Butler (@JoshButler) Microsoft's sexist racist Twitter bot @TayandYou is BACK in fine form pic.twitter.com/nbc69x3LEd

Tay then started to tweet out of control, spamming its more than 210,000 followers with the same tweet, saying: “You are too fast, please take a rest …” over and over.

Michael Oman-Reagan (@OmanReagan) I guess they turned @TayandYou back on... it's having some kind of meltdown. pic.twitter.com/9jerKrdjft

Microsoft responded by making Tay’s Twitter profile private, preventing anyone from seeing the tweets, in effect taking it offline again.

Tay is made in the image of a teenage girl and is designed to interact with millennials to improve its conversational skills through machine-learning. Sadly it was vulnerable to suggestive tweets, prompting unsavoury responses.

This isn’t the first time Microsoft has launched public-facing AI chatbots. Its Chinese XiaoIce chatbot successfully interacts with more than 40 million people across Twitter, Line, Weibo and other sites but the company’s experiments targeting 18- to 24-year-olds in the US on Twitter has resulted in a completely different animal.

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