Meeting the AI achievement challenge: collective and vicarious achievements

Abstract The present paper tackles what we might call the AI achievement challenge , which has been the subject of recent debate in AI ethics. The challenge concerns the question of whether there are any achievement gaps due to artificial intelligence and what we should do if there are: how to fill them, or what policies are needed to decrease their impact on us if they cannot be filled. This paper argues that none of the proposed views is entirely satisfactory, even though they all have certain merits. The paper will provide two mutually compatible answers to the AI achievement challenge: one in terms of collective achievement and the other in terms of vicarious achievement.

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Publication Details

Journal
Ethics and Information Technology
Published
2025-05-18
DOI
https://doi.org/10.1007/s10676-025-09836-3
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37

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article

Meeting the AI achievement challenge: collective and vicarious achievements

Daniela Vacek
1 citations
Ethics and Information Technology
Ethics and Social Impacts of AI
2.37
article

Meeting the AI achievement challenge: collective and vicarious achievements

Daniela Vacek
article en
1 citations

Abstract

Abstract The present paper tackles what we might call the AI achievement challenge , which has been the subject of recent debate in AI ethics. The challenge concerns the question of whether there are any achievement gaps due to artificial intelligence and what we should do if there are: how to fill them, or what policies are needed to decrease their impact on us if they cannot be filled. This paper argues that none of the proposed views is entirely satisfactory, even though they all have certain merits. The paper will provide two mutually compatible answers to the AI achievement challenge: one in terms of collective achievement and the other in terms of vicarious achievement.

Ethics and Information TechnologyVol. 27(2)
Slovak Academy of Sciences (SK), Biomedical Research Center of the Slovak Academy of Sciences (SK)
John Templeton Foundation, Slovenská Akadémia Vied, University of Oxford, Agentúra na Podporu Výskumu a Vývoja, Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
Openalex Percentile: Top 12%
Ethics and Social Impacts of AI
2.37
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