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اَلسَلامُ عَلَيْكُم

(Peace be upon you)

Examining AI through the Repugnant Conclusion

When Greater Good Becomes Greater Harm

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Examining AI through the Repugnant Conclusion

When Greater Good Becomes Greater Harm

Placeholder created: October 11, 2025

TO BE DONE
This page will explore arguments against AI through the lens of the Repugnant Conclusion framework. The central question: given the current state of AI, can it be argued that (irrespective of sentience concerns) even though AI adds significant impact for a significant group of people, it might create overall harm for a substantially larger set of people? This harm extends beyond purely financial and job displacement to include existential and meaning-based damages in an increasingly materialistic world (even if not explicitly Godless). A key challenge will be addressing the quantification problem - how to measure unmeasurable aspects like meaning, purpose, and spiritual fulfillment against easily quantifiable metrics like productivity and economic output.

References (Preliminary)

  • Parfit, Derek. "Reasons and Persons." Oxford University Press, 1984.
  • Arrhenius, Gustaf. "The Repugnant Conclusion." Stanford Encyclopedia of Philosophy.
  • Adler, M., "Well-Being and Fair Distribution: Beyond Cost-Benefit Analysis," Oxford University Press, 2012.
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