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Moral Association Graph: A Cognitive Model for Automated Moral Inference

Topics in Cognitive Science, ISSN: 1756-8765
2024
  • 0
    Citations
  • 0
    Usage
  • 2
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Captures
    2
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

Researchers at University of Toronto Release New Data on Psychology and Psychiatry (Moral Association Graph: a Cognitive Model for Automated Moral Inference)

2024 DEC 20 (NewsRx) -- By a News Reporter-Staff News Editor at Psychology & Psychiatry Daily -- Current study results on Psychology and Psychiatry have

Article Description

Automated moral inference is an emerging topic of critical importance in artificial intelligence. The contemporary approach typically relies on language models to infer moral relevance or moral properties of a concept. This approach demands complex parameterization and costly computation, and it tends to disconnect with existing psychological accounts of moralization. We present a simple cognitive model for moral inference, Moral Association Graph (MAG), inspired by psychological work on moralization. Our model builds on word association network for inferring moral relevance and draws on rich psychological data. We demonstrate that MAG performs competitively to state-of-the-art language models when evaluated against a comprehensive set of data for automated inference of moral norms and moral judgment of concepts, and in-context moral inference. We also show that our model yields interpretable outputs and is applicable to informing short-term moral change.

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