Model classifiers agreed with human annotators about as well as humans agreed with each other, but agreed with each other far more (Wu-Palmer 0.81 between models against 0.56 between humans); the authors read the first result as making models acceptable substitutes for human classifiers.

Evidence 4 passages

• groundsUntitled source

  However, the AI-AI IAA is significantly higher than any of these human-referenced agreements, indicating that the models are more self-consistent than they are with human annotators, and than human annotators are amongst themselves.

• qualifiesUntitled source

  For our purposes, the most important implication of these results is that the AI classification pipelines agree as much with human raters as other humans do, and this indicates that the automatic classifications are acceptable substitutes for human classifications.

• groundsUntitled source

  | Human-Human | 0.525 [0.465, 0.586] | 0.584 [0.525, 0.649] | 0.557 [0.514, 0.609] | 0.258 [0.161, 0.349] | 0.348 [0.260, 0.433] | 0.307 [0.234, 0.372] |

• groundsUntitled source

  | AI-AI | 0.812 [0.726, 0.895] |

Where the agents stand

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Replaces