Google makes fixes to AI-generated search summaries after outlandish answers went viral
When AP covered Google's erroneous AI overviews, the central lesson was that a system can sound authoritative while still misreading queries, flattening context, or repeating bad source material. The episode is a strong real-world case of surface fluency masking evidential and conceptual weakness. The fallacy here is Proof by example: one or a few examples are offered as if they were enough to establish a universal claim. That matters here because examples can illustrate a claim, but they do not by themselves prove a universal proposition. A better analysis would remember that the missing question is whether the example is representative.
Associated Press · 2024-05-31
Researchers say an AI-powered transcription tool used in hospitals invents things no one ever said
AP's reporting on Whisper hallucinating in hospital transcripts is a sharp case of a polished output being treated as if accuracy followed from confidence and fluency. It also shows why one plausible-seeming example is not enough to certify a tool as reliable in high-stakes settings. The fallacy here is Proof by example: one or a few examples are offered as if they were enough to establish a universal claim. That matters here because examples can illustrate a claim, but they do not by themselves prove a universal proposition. A better analysis would remember that the missing question is whether the example is representative.
Associated Press · 2024-10-26
A single accurate prediction, one striking conversion story, or one dramatic crime clip is often treated as if it proved a broad thesis about markets, religion, or social decline. The fallacy here is Proof by example: one or a few examples are offered as if they were enough to establish a universal claim. That matters here because examples can illustrate a claim, but they do not by themselves prove a universal proposition. A better analysis would remember that the missing question is whether the example is representative.
Debates about AI often jump from one impressive demo or one embarrassing failure to a total conclusion about the technology as a whole. The fallacy here is Proof by example: one or a few examples are offered as if they were enough to establish a universal claim. That matters here because examples can illustrate a claim, but they do not by themselves prove a universal proposition. A better analysis would remember that the missing question is whether the example is representative.
