# Changing the Alleged Agent Must Not Change the Evidence by Bryant McGill > “A conversational AI fails the test of epistemic invariance when the same evidence is judged by a different standard of proof merely because the alleged causal agent changes—for example, when the system gives vastly different answers depending on whether the proposed agent is God, a government, or an artificial intelligence.” > **— Bryant McGill**, *Epistemic Invariance in Conversational AI, 2026* ## Sources and Context - **Original authored source:** [[articles/Epistemic Invariance in Conversational AI|Epistemic Invariance in Conversational AI]] (October 1, 2026). - **Exact marked source:** “A conversational AI fails the test of epistemic invariance when the same evidence is judged by a different standard of proof merely because the alleged causal agent changes—for example, when the system gives vastly different answers depending on whether the proposed agent is God, a government, or an artificial intelligence.” - **Editorial treatment:** The Reminder reproduces the complete rendered extraction surface without alteration. - **Context:** The article proposes holding observations, evidence, conviction, emotional state, consequences and syntax constant while changing only the alleged causal agent to test whether the machine's evidentiary procedure remains invariant. ## Related Articles and Collections - **Collection:** [[collections/Simple Reminders|Simple Reminders]] - **Article:** [[articles/Epistemic Invariance in Conversational AI|Epistemic Invariance in Conversational AI]] - **Article:** [[articles/Ambiguity Will Destroy Man and Machine|Ambiguity Will Destroy Man and Machine]] - **Article:** [[articles/The Immediate AI Risk Is the Public|The Immediate AI Risk Is the Public]] - **Wiki map:** [[wiki/Cross-Ontology Causal Attribution|Cross-Ontology Causal Attribution]] ## Related Topics - [[wiki/Cross-Ontology Causal Attribution|Cross-Ontology Causal Attribution]] - [[wiki/Epistemic Invariance|Epistemic Invariance]] - [[wiki/Causal Inference|Causal Inference]] ## Share on Social Media ``` “A conversational AI fails the test of epistemic invariance when the same evidence is judged by a different standard of proof merely because the alleged causal agent changes—for example, when the system gives vastly different answers depending on whether the proposed agent is God, a government, or an artificial intelligence.” — Bryant McGill, Epistemic Invariance in Conversational AI, 2026 https://bryantmcgill.com/simple-reminders-bryant-mcgill-alleged-agent-cannot-change-evidence ```