READING ROOM ↗

Unreliable generated information

Fluent answers can contain errors that readers fail to notice.

Last reviewed
Jurisdiction / scope
Global
Record date / period
Date not established
Assessment confidence
Not scored

Overview

A plausible answer can still be unsupported or false.

Why it matters

The consequence depends on what people do with it and whether anyone checks it.

Current evidence

OpenAI’s GPT-4 release documentation acknowledged hallucinations and other limitations.

What we know

The developer’s warning concerns the documented model; it is not a measurement of every current AI system.

What we do not know

Which verification routines remain effective for each real use case?

Key uncertainties

Task, version, prompting, retrieval and human review can change outcomes.

Current assessment

Ask for checkable evidence when the consequences of error matter.

Methodology

Keep developer claims attributed and version-specific.

Related records.

Links provide context. Read the stated relationship; inclusion does not imply misconduct, endorsement or a legal obligation.

Research

Models

Sources.

  1. OpenAI · Primary source · Developer documentation
    Published 2023-03-14 · Accessed 2026-10-07

  2. NIST · Primary source · Government technical report
    Published 2024-07 · Accessed 2026-10-07

    DOI: 10.6028/NIST.AI.600-1

Record history.

Review dates track editorial checks. Updates may reflect corrections or added context; they are not new incidents. Private draft revisions are omitted.

  1. · Revision 1

    Initial sourced historical collection. Review date describes this record, not the date of the event.

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