Stop Treating AI Models Like People
We recorded 6 claims from this post. 6 can’t be checked. 1 more is held. Read the post at its source.
Claims from this post (6)
In the order they appear in the post. Each quotation is the speaker’s words in this post. A label such as “Supported” or “Can’t be checked” is the claim’s current assessment; its page has the evidence and the reasons.
Assessment: Can’t be checkedSaid
Observation
“The AI systems that power these chatbots are simply systems (technically known as “language models” because they emulate (model) the statistical structure of language) that compute probabilities of word sequences, without any deep or human-like comprehension of what they say.”
Our reading: Language models powering chatbots compute word-sequence probabilities without deep or human-like comprehension of what they say.
No horizon
Assessment: Can’t be checkedSaid
Causal claim
“The more false agency people ascribe to them, the more they can be exploited, suckered in by harmful applications like catfishing and fraud, as well as more subtly harmful applications like chatbot-assisted therapy or flawed financial advice.”
Our reading: The more false agency people ascribe to chatbots, the more they can be exploited via fraud, catfishing, chatbot therapy or flawed financial advice.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“We also need new technical tools, like watermarks and generated content detectors, to help distinguish human- and machine-generated content, and policy measures to limit how and where AI models can be used.”
Our reading: New tools like watermarks and detectors, plus policy measures limiting how and where AI models can be used, are needed.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“As tempting as it is, we have to stop treating AI models like people.”
Our reading: People must stop treating AI models like people.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Educating people to overcome the overattribution bias will be a vital step; we can’t have senators and members of the AI community making the problem worse.”
Our reading: Educating people to overcome overattribution bias is vital, and senators and AI community members should not worsen it.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Treat them as fun toys, if you like, but don’t treat them as friends.”
Our reading: People should not treat chatbots as friends.
No horizon
Held from this post (1)
These records did not pass every check, so nothing about them is published. Held is not a finding.