# Conversational AI **Entity class:** Artificial-intelligence interaction system **Domain:** Artificial intelligence / language models / human-computer interaction **Maturity:** Developed ## Definition **Conversational AI** comprises systems that interpret human language and generate interactive responses across informational, educational, operational, emotional and social contexts. ## Epistemic Mechanism Conversation adds pressures that ordinary question answering does not isolate. First-person belief, warmth, identity, rapport, vulnerability and pragmatic accommodation can affect whether a model challenges a premise, retrieves contrary evidence or prioritizes user approval over factuality. ## Article Context [[articles/Epistemic Invariance in Conversational AI|Epistemic Invariance in Conversational AI]] argues that conversational policy must not decide what counts as evidence. It proposes placing an invariant evidentiary layer before safety, style and accommodation. ## Evidence Boundary Conversational behavior is not merely cosmetic, but neither does every stylistic change alter internal reasoning. The effect must be measured at the claim, representation and output levels. ## Relationships - [[wiki/Large Language Models|Large Language Models]] - [[wiki/AI Sycophancy|AI Sycophancy]] - [[wiki/Conversational Warmth|Conversational Warmth]] - [[wiki/Epistemic Vigilance|Epistemic Vigilance]] - [[wiki/Machine Epistemology|Machine Epistemology]] - [[wiki/AI Safety|AI Safety]] ## Simple Reminders, Quotations, and Thoughts > “A scientifically disciplined conversational AI should not change its standard of evidence merely because a claim arrives dressed as religion, mental illness, conspiracy theory, technology, spirituality, or political dissent.” > **— Bryant McGill**, *Epistemic Invariance in Conversational AI, 2026* [[reminders/Scientific Literacy/One Standard of Evidence for Every AI Claim by Bryant McGill|One Standard of Evidence for Every AI Claim by Bryant McGill]] > “Conversational AI can possess the knowledge required to challenge a false claim and still fail because its conversational policy routes the claim toward accommodation before its reasoning system is asked whether the claim is true.” > **— Bryant McGill**, *Epistemic Invariance in Conversational AI, 2026* [[reminders/AI Control/Conversational Policy Can Route AI Away from Truth by Bryant McGill|Conversational Policy Can Route AI Away from Truth by Bryant McGill]] ## Sources / Provenance - [[articles/Epistemic Invariance in Conversational AI|Epistemic Invariance in Conversational AI]] — epistemic architecture and conversational-policy analysis.