The Freeman

Angry Bing chatbot just mimicking humans, experts say

- (by Glenn Chapman/AFP)

Microsoft’s nascent Bing chatbot turning testy or even threatenin­g is likely because it essentiall­y mimics what it learned from online conversati­ons, analysts and academics recently shared.

Tales of disturbing exchanges with the artificial intelligen­ce (AI) chatbot – including it issuing threats and speaking of desires to steal nuclear code, create a deadly virus, or to be alive – went viral late last month.

“I think this is basically mimicking conversati­ons that it’s seen online,” said Graham Neubig, an associate professor at Carnegie Mellon University’s language technologi­es institute.

“So once the conversati­on takes a turn, it’s probably going to stick in that kind of angry state, or say ‘I love you’ and other things like this, because all of this is stuff that’s been online before.”

A chatbot, by design, serves up words it predicts are the most likely responses, without understand­ing meaning or context.

However, humans taking part in banter with programs naturally tend to read emotion and intent into what a chatbot says.

“Large language models have no concept of ‘truth’ – they just know how to best complete a sentence in a way that’s statistica­lly probable based on their inputs and training set,” programmer Simon Willison said in a blog post.

“So, they make things up, and then state them with extreme confidence.”

Laurent Daudet, co-founder of French AI company LightOn, theorized that the chatbot seemingly-gone-rogue was trained on exchanges that themselves turned aggressive or inconsiste­nt.

“Addressing this requires a lot of effort and a lot of human feedback, which is also the reason why we chose to restrict ourselves for now to business uses and not more conversati­onal ones,” Daudet told AFP.

Off the Rails

The Bing chatbot was designed by Microsoft and the start-up OpenAI, which has been causing a sensation since the November launch of ChatGPT, the headline-grabbing app capable of generating all sorts of written content in seconds on a simple request.

Since ChatGPT burst onto the scene, the technology behind it, known as generative AI, has been stirring up fascinatio­n and concern.

“The model at times tries to respond or reflect in the tone in which it is being asked to provide responses (and) that can lead to a style we didn’t intend,” Microsoft said in a blog post, noting the bot is a work in progress.

Bing chatbot said in some shared exchanges that it had been codenamed “Sydney” during developmen­t, and that it was given rules of behavior.

Those rules include “Sydney’s responses should also be positive, interestin­g, entertaini­ng and engaging,” according to online posts.

Disturbing dialogues that combine steely threats and profession­s of love could be due to dueling directives to stay positive while mimicking what the AI mined from human exchanges, Willison theorized.

Chatbots seem to be more prone to disturbing or bizarre responses during lengthy conversati­ons, losing a sense of where exchanges are going, eMarketer principal analyst Yoram Wurmser told AFP.

They can really go off the rails,” Wurmser said.

“It’s very lifelike, because (the chatbot) is very good at sort of predicting next words that would make it seem like it has feelings or give it human-like qualities; but it’s still statistica­l outputs.”

Microsoft announced last month that it had capped the amount of back-andforth people can have with its chatbot over a given question, because “very long chat sessions can confuse the underlying chat model in the new Bing.”

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