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This study examines computational universalism by integrating insights from AI studies and Science and Technology Studies (STS). It emphasizes how analytical tools shape research objects and researchers alike.

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Area of Science:

  • Science and Technology Studies (STS)
  • Artificial Intelligence (AI) Studies

Background:

  • Critically engages with Lee and Ribes' concept of computational universalism.
  • Integrates Suchman's work on the "thingness" of AI and broader STS scholarship.
  • Highlights the role of technical vernaculars, digital practices, and event thinking in STS analyses of computation.

Purpose of the Study:

  • To explore the conceptual resources STS offers for studying computational universalism.
  • To analyze how analytical languages and tools constitute research objects in computation studies.
  • To reflect on the co-constitution of researchers and research objects in the field.

Main Methods:

  • Conceptual analysis and synthesis of existing literature.
  • Dialogue between STS perspectives and AI studies.
  • Examination of scholarship on technical vernaculars, digital practices, and event thinking.

Main Results:

  • STS provides valuable frameworks for understanding computational universalism.
  • The study of computation is shaped by the analytical tools and languages employed.
  • Researchers and their objects are mutually constituted throughout the research process.

Conclusions:

  • A nuanced understanding of computational universalism requires attention to the interplay between researchers and their subjects.
  • STS scholarship offers critical perspectives on the social and analytical construction of AI and computation.
  • Future research should consider the reflexive implications of studying computational phenomena.