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Heidegger Waiting on an AI Threshold Event: Beyond the Empirical Turn in Philosophy of Technology

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Abstract

As Philosophy of Technology is increasingly mobilized to address artificial intelligence, much scholarship—whether utopian, catastrophist, or explicitly anti-singularitarian—remains structured by the ontology and temporality of a future AI threshold event. This paper argues that such futural orientations sustain a potentially hazardous form of “awaiting”: ethical reflection becomes predictive and solutionist, oriented to determinate risks presumed to materialize as future empirical dangers and threats. Against this backdrop, I diagnose a tendency within the “empirical turn” and post-phenomenological AI ethics toward what I call “ontic solutionism”: an approach bracketing ontology, narrowing attention to artifacts and measurable future harms, and thereby obscuring dangers that remain indeterminate in the present.

Re-reading Heidegger—despite his exclusion from much post-phenomenological self-definition—I show that neglect of his concept of indeterminacy (Unbestimmtheit) underwrites familiar charges of techno-pessimism and determinism, and blocks key “reversals” (Umkehrungen) needed to grasp AI’s deeper threat: technologically induced nihilism. Developing Heidegger’s crucial distinctions between “awaiting” (erwarten) and “waiting” (warten), and between “advent” (Ankunft) and “event” (Ereignis), I propose a non-predictive orientation to AI as event in the present: a disciplined, non-willing readiness attuned to indeterminacy, which avoids pessimistic resignation in the face of techno-determinism. This stance does not abandon ontic interventions, but re-grounds AI ethics ontologically, clarifying how successful empirical safeguards may intensify the very technological disclosure they seek to manage.
Original languageEnglish (Ireland)
Article number166
Number of pages24
JournalPhilosophy and Technology
Volume39
Publication statusPublished - 1 Sept 2026

UCC Futures

  • Artificial Intelligence and Data Analytics

Teaching and Learning

  • Teaching and Learning-related output

Keywords

  • Artificial intelligence
  • Heidegger
  • Post-Phenomenology
  • Philosophy of Technology
  • Empirical Turn
  • Verbeek
  • Nihilism

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