Claims

Gen-AI hallucinates sources and values and produces convincing but incorrect explanations, risking student misinformation

Claim · All claims
Evidence · 1 study (2 entries) · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Without source files, ChatGPT generated false information such as reviewing a nonexistent paper; even with the paper supplied it fabricated details like sample size. → Ivory 2026 q2 i? Incorrect AI answers came with explanations convincing enough to mislead students using Gen-AI as a learning or revision aid. → Ivory 2026 (2)

Evidence

Ivory 2026

Ivory, M., Finnerty, S., Dunn, K., Philpot, R., & Warmelink, L. (2026). The Integrity of Psychology Assessments in the AI Age: A Critical Examination. Journal of Academic Ethics. https://doi.org/10.1007/s10805-026-09729-0

q2 · i? · design · r2

In the paper review assessment (PSYC305), basic prompting reviewed a nonexistent paper with an unresolvable DOI; with the paper uploaded, ChatGPT fabricated the sample size, stating 378 participants whereas the paper reported 329.

"Further Gen-AI is prone to the generation of incorrect information and the hallucination of sources and references that do not exist."

Ivory 2026 (2)

Ivory, M., Finnerty, S., Dunn, K., Philpot, R., & Warmelink, L. (2026). The Integrity of Psychology Assessments in the AI Age: A Critical Examination. Journal of Academic Ethics. https://doi.org/10.1007/s10805-026-09729-0

q2 · i? · design · r2

Observation from the WBA transcripts (e.g. a developmental psychology question in PSYC205 WBA 6 where the correct answer was (a) but ChatGPT answered 'd. All of the above' with a plausible justification); the authors warn students without prior knowledge may become misinformed.

"when the Gen-AI provided incorrect answers, the associated explanations were often convincing, particularly on content outside the expertise of the researchers."

Discussion

Page metadata
Field Value
type claim
id genai-hallucination-convincing-incorrect-explanations
title Gen-AI hallucinates sources and values and produces convincing but incorrect explanations, risking student misinformation
description Gen-AI hallucinates sources and values and produces convincing but incorrect explanations, risking student misinformation
status review
evidence_strength moderate
newest_evidence 2026
recheck_by 2029
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 2 — ivory-2026, ivory-2026-2

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