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Uncanny valley

As explained in Introduction to Generative AI, Second Edition

The uncanny valley is the feeling of unease caused when an artificial entity closely resembles a human without fully matching human appearance or behavior.

A chatbot that sounds almost human may also feel unsettling. In conversation, the uncanny valley describes unease when an AI closely resembles a person without fully seeming like one. One concern is that users may project emotions and desires onto a chatbot, blurring the line between a human relationship and an artificial one. Claims that this harms mental-health care rest here on anecdotal unease, not established clinical evidence. section 9.5

The concern matters when choosing a mental-health chatbot. Woebot uses clinician-reviewed, rules-based responses, which are less flexible than replies generated by a large language model. A generative chatbot may feel more engaging, but its individual responses are difficult to guarantee as consistent with mental-health guidance. section 9.5

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Explains conversational resemblance and emotional projection, while noting that the cited evidence of harm is anecdotal.
Examples
Contrasts Woebot’s clinician-reviewed responses with less predictable large-language-model chatbot replies.
What you can do after
Evaluate/understand a possible risk of humanlike chatbot interaction without treating anecdotal unease as proof of harm.
How it connects
Links the uncanny valley to human–chatbot relationships, mental-health chatbots, rules-based AI, and large language models.

This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.