Back to articles
DevPickView feed
ITmedia
Original published:

Are 'AI interviewers' more likely to offer jobs than humans? Retention rate up 18% in experiment with approx. 70,000 people

Are 'AI interviewers' more likely to offer jobs than humans? Retention rate up 18% in experiment with approx. 70,000 people
AI summary
Editorial policy

Researchers from Carnegie Mellon University and others published a paper examining how AI interviews affect job offer rates and retention based on a field experiment involving approximately 70,000 people.

Key points

  • •Researchers affiliated with Carnegie Mellon University and others published a paper on a natural field experiment regarding automated job interviews.
  • •The study investigated how AI interviews impact job offer rates and post-hire retention rates.
  • •The paper is titled 'Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews'.
Read the original(opens in a new tab)
#Research & Papers#Regulation, Ethics & Society#カーネギーメロン大学

Related articles

See more
ITmedia AI+

Most of the evidence is "blackened out": Is AI accelerating AI development? A third-party organization investigates inside Anthropic

The US non-profit research organization METR published a report evaluating whether AI accelerates AI development, with the cooperation of Anthropic.

TechCrunch

Axiom Math wants to keep AI slop out of mathematics

Axiom Math is betting on verification technology to prevent unchecked AI proofs from flooding mathematics, with its AI agents having formally verified the major Stacks Project library.

Google Research

Detecting signs of hypertension using wearable sensors

A new AI system is presented that leverages standard consumer smartwatch sensors to passively detect signs of high blood pressure.

TechCrunch

A YC startup is putting $1M behind 5 unsolved materials science problems for AI

Discovered Materials, a months-old YC startup using AI to find chip materials, is offering $200,000 for each solution to five open materials science problems.

Google Research

Agile Deliberation: How AI helps humans define the gray areas

The article explains Agile Deliberation, a method that uses an interactive workflow and an LLM-driven optimization loop to build accurate AI image classifiers for subjective categories.