Beyond Metrics: Navigating AI through Sustainable Paradigms

Nir Ofek, Oded Maimon

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 - 1 Dec 2023
Externally publishedYes

Keywords

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

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Environmental Science (miscellaneous)
  • Energy Engineering and Power Technology
  • Hardware and Architecture
  • Computer Networks and Communications
  • Management, Monitoring, Policy and Law

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