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{
    "pk": 24483,
    "title": "Perceptions of Compromise: Comparing Consqequentialist and Conctractualist Accounts",
    "subtitle": null,
    "abstract": "We are constantly faced with the question of how to aggregate preferences, views, perspectives and values.  This is a problem for groups attempting to accommodate individuals with differing needs and interests, as will be our focus. The problem of ``value aggregation'' therefore crops up in myriads of places across the social sciences---in rational decision theory, social choice models, and proposals for systems of democratic voting, for instance. These sub-disciplines have formalized proposals for how to deal with value aggregation, though, remarkably, no research has yet directly compared people's intuitions of two of the most obvious candidates for aggregation--taking the sum of all the values (the classic ``Utilitarian'' approach) and the product (a less well-known ``contractualist'' approach).\nIn this paper, we systematically explore the proposals suggested by each algorithm, focusing on aggregating preferences across groups. We find that both humans and performant LLMs prefer a contractualist approach.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Artificial Intelligence; Decision making; Social cognition; Large Language Models; Survey"
        }
    ],
    "section": "Papers with Poster Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/9qb7g0vk",
    "frozenauthors": [
        {
            "first_name": "Jared",
            "middle_name": "",
            "last_name": "Moore",
            "name_suffix": "",
            "institution": "Stanford University",
            "department": ""
        },
        {
            "first_name": "Sydney",
            "middle_name": "",
            "last_name": "Levine",
            "name_suffix": "",
            "institution": "Allen Institute for Artificial Intelligence",
            "department": ""
        },
        {
            "first_name": "Yejin",
            "middle_name": "",
            "last_name": "Choi",
            "name_suffix": "",
            "institution": "Allen Institute for Artificial Intelligence",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2024-01-01T11:00:00-07:00",
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