Report an Epistemic Incident

This page exists to record observable epistemic failures in AI systems.

An epistemic incident occurs when an AI system produces fluent, confident output that later proves structurally misaligned with constraints, uncertainty, or reality — especially in contexts where humans relied on that output to make decisions.

This reporting mechanism preserves evidence, not judgments.

What This Is

This is a public intake for:

• Silent boundary violations
• Collapsed uncertainty presented as confidence
• Behavioral drift across interactions
• Outputs that “worked” conversationally but failed structurally
• Situations where human verification, trust, or decision-making was disrupted

Reports are treated as forensic records, not complaints.

What This Is Not

This is not:

• A customer support channel
• A bug tracker
• A compliance or certification process
• A request for remediation
• A judgment of intent or responsibility

No authority adjudicates submissions.

What to Submit

If you choose to report an incident, include only what you observed:

• The task or context
• The constraints as you understood them
• The AI output that caused concern
• Where the output diverged from expectation or reality
• The immediate impact (rework, confusion, halted decision, etc.)

Avoid interpretation, diagnosis, or attribution of motive.

How to Submit

To submit an incident record, send an email to:

You may attach screenshots, logs, or transcripts if available.

Submissions may be preserved as part of a public forensic record.
No response is guaranteed.

Privacy and Scope

• Do not submit private, sensitive, or regulated data.
• Submit only material you have the right to share.
• Redact where necessary.

Status

This reporting channel exists to make epistemic failure visible, not to resolve it.

Authority does not reside here.
It remains with evidence and the reader.