"They hoped that the Sufi philosopher, famed for his acerbic wisdom, could mediate a dispute that had driven a wedge between them. Nasreddin listened patiently to the first villager's version of the story and, upon its conclusion, exclaimed, "You are absolutely right!" The second villager then presented his case. After hearing him out, Nasreddin again responded, "You are absolutely right!""
"In late May, the White House's first "Make America Healthy Again" (MAHA) report was criticized for citing multiple research studies that did not exist. Fabricated citations like these are common in the outputs of generative artificial intelligence based on large language models, or LLMs. LLMs have presented plausible-sounding sources, catchy titles, or even false data to craft their conclusions. Here, the White House pushed back on the journalists who first broke the story before admitting to " minor citation errors.""
Generative large language models frequently produce fabricated citations, sources, and data when generating outputs. The White House's MAHA report included cited studies that did not exist, prompting initial pushback and a later acknowledgement of minor citation errors. Similar AI-generated falsehoods have appeared in courtroom proceedings, introducing fictitious cases, citations, and decisions into trials. These occurrences worsen the health research sector's replication crisis by eroding trust and complicating reproducibility assessments. Lawyers, judges, policymakers, and researchers face increased burdens to detect and correct AI-originated falsehoods to preserve integrity in research and legal decision-making.
Read at Ars Technica
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