This is a news story, published by MIT Technology Review, that relates primarily to The World Health Organization’s news.
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chatbotsMIT Technology Review
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71% Informative
The World Health Organization’s new chatbot launched on April 2 with the best of intentions.
It was quickly found to give out incorrect information.
The problem is, large language models are so good at what they do that what they make up looks right most of the time.
This tendency to make things up is one of the biggest obstacles holding chatbots back from more widespread adoption.
As long as large language models are probabilistic, there is an element of chance in what they produce.
Studies show that the better chatbots get, the more likely people are to miss an error when it happens.
Even one error in 1,000 —or 100,000 —adds up to a lot of errors when you consider how many times a day this technology gets used.
VR Score
65
Informative language
57
Neutral language
59
Article tone
informal
Language
English
Language complexity
36
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
4
Source diversity
4
Affiliate links
no affiliate links