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Authenticity in algorithm-aided decision-making.

I identify an undertheorized problem with decisions we make with the aid of algorithms: the problem of inauthenticity. When we make decisions with the aid of algorithms, we can make ones that go against our commitments and values in a normatively important way. In this paper, I present a framework f...

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Publicado en:Synthese Vol. 204; no. 3; pp. 1 - 26
Autor principal: Karlan, Brett
Formato: Artículo
Publicado: Springer Nature Sep2024
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Authenticity in algorithm-aided decision-making.
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        au: Karlan, Brett
        affil: https://ror.org/02dqehb95 Purdue University, Beering Hall 100 N University St, West Lafayette, IN, USA
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        Artificial intelligence
        Authenticity
        Decision-making
        Practical reason
      ab: I identify an undertheorized problem with decisions we make with the aid of algorithms: the problem of inauthenticity. When we make decisions with the aid of algorithms, we can make ones that go against our commitments and values in a normatively important way. In this paper, I present a framework for algorithm-aided decision-making that can lead to inauthenticity. I then construct a taxonomy of the features of the decision environment that make such outcomes likely, and I discuss three possible solutions to the problem.
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      doctype: Article
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    language: English
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