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{
    "pk": 21416,
    "title": "Moral association graph: A cognitive model for moral inference",
    "subtitle": null,
    "abstract": "Moral inference is an emerging topic of critical importance in artificial intelligence. The contemporary approach often relies on language modelling to infer moral relevance or moral properties of a concept such as \"smoking\". This approach  demands complex parameterisation and costly computation, and it tends to disconnect with psychological accounts of moralization. We present a simple cognitive model for moral inference grounded in theories of moralization. Our model  builds on word association network known to  capture  human semantics and draws on rich psychological data. We demonstrate that our moral association graph model performs competitively to state-of-the-art language models, where we evaluate them against a comprehensive set of data for  automated inference of moral norms and moral judgment of concepts, and in-context moral inference. Moreover, we show that our model discovers intuitive concepts underlying  moral judgment and is applicable to informing short-term temporal changes in moral perception.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Artificial Intelligence; Psychology; Natural Language Processing; Computational Modeling; Large Language Models"
        }
    ],
    "section": "Papers with Oral Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/8qj2b5k0",
    "frozenauthors": [
        {
            "first_name": "Aida",
            "middle_name": "",
            "last_name": "Ramezani",
            "name_suffix": "",
            "institution": "University of Toronto",
            "department": ""
        },
        {
            "first_name": "Yang",
            "middle_name": "",
            "last_name": "Xu",
            "name_suffix": "",
            "institution": "University of Toronto",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2024-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/21416/galley/11015/download/"
        },
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/21416/galley/21861/download/"
        }
    ]
}