Artificial achievements.

State-of-the-art machine learning systems now routinely exceed benchmarks once thought beyond the ken of artificial intelligence (AI). Often these systems accomplish tasks through novel, insightful processes that remain inscrutable to even their human designers. Taking AlphaGo's 2016 victory over Le...

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Publicado en:Analysis Vol. 84; no. 1; pp. 32 - 42
Autor principal: Kieval, Phillip Hintikka
Formato: Artículo
Publicado: Oxford University Press / USA Jan2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Artificial achievements.
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        au: Kieval, Phillip Hintikka
        affil: Department of History and Philosophy of Science University of Cambridge , UK
      su:
        Iterative methods (Mathematics)
        Numerical analysis
        Iterative decoding
        Conjugate gradient methods
        Generalized minimal residual method
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        subj:
          Iterative methods (Mathematics)
          Numerical analysis
          Iterative decoding
          Conjugate gradient methods
          Generalized minimal residual method
      keyword:
        achievements
        artificial intelligence
        deep learning
      ab: State-of-the-art machine learning systems now routinely exceed benchmarks once thought beyond the ken of artificial intelligence (AI). Often these systems accomplish tasks through novel, insightful processes that remain inscrutable to even their human designers. Taking AlphaGo's 2016 victory over Lee Sedol as a case study, this paper argues that such accomplishments manifest the essential features of achievements as laid out in Bradford's 2015 book Achievement. Achievements like these are directly attributable to AI systems themselves. They are artificial achievements. This opens the door to a challenge that calls out for further inquiry. Since Bradford grounds the intrinsic value of achievements in the exercise of distinctively human perfectionist capacities, the existence of artificial achievements raises the possibility that some achievements might be valueless.
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    language: English
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