Beyond Metrics: Navigating AI through Sustainable Paradigms

Nir Ofek*, Oded Maimon

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This manuscript presents an innovative approach to the concept of sustainability in the realm of Artificial Intelligence (AI), recognizing that sustainability is a dynamic vision characterized by harmony and balance. We argue that achieving sustainability in AI systems requires moving beyond rigid adherence to protocols and compliance checklists, which tend to simplify sustainability into static criteria. Instead, sustainable AI should reflect the balance and adaptability intrinsic to the broader vision of sustainability. In crafting this vision, we draw upon the principles of complex systems theory, the wisdom of philosophical doctrines, and the insights of ecology, weaving them into a comprehensive paradigm.

Original languageEnglish
Article number16789
JournalSustainability (Switzerland)
Volume15
Issue number24
DOIs
StatePublished - Dec 2023

Keywords

  • AI for environment
  • SDGs
  • complexity
  • deep learning
  • ethics
  • green AI
  • machine learning
  • sustainable AI

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