We study AI agents as information-collection technologies: automated systems that elicit decision-relevant signals from humans through live interactions. We test how such AI automation impacts information collection and organizational outcomes using a natural...
VQV Signal
SOURCE-BACKED
GENERAL
Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews
We study AI agents as information-collection technologies: automated systems that elicit decision-relevant signals from humans through live interactions. We test how such AI automation impacts information collection and organizational outcomes using a natural...
We study AI agents as information-collection technologies: automated systems that elicit decision-relevant signals from humans through live interactions. We test how such AI automation impacts information collection and organizational outcomes using a natural field experiment with 70,000 applicants applying for...
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Signal Strength 95%
Technical label SOURCE-BACKED
Public Interest 0
Reader Depth GENERAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 0
Novelty Interest Score 0
Consequence Score 0
Curiosity Score 0
Shareability Score 0
Topics
VQV surfaced this signal because it is recent, relevant to AI Voice, connected to arXiv.
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