mlsanityData to 7 Oct 2026

The role of artificial intelligence in achieving the Sustainable Development Goals

arXiv 1905.00501 ↗First posted 30 Apr 2019cs.CY cs.AIcited by 100

Not on the map. Why?

Abstract (arXiv)

The emergence of artificial intelligence (AI) and its progressively wider impact on many sectors across the society requires an assessment of its effect on sustainable development. Here we analyze published evidence of positive or negative impacts of AI on the achievement of each of the 17 goals and 169 targets of the 2030 Agenda for Sustainable Development. We find that AI can support the achievement of 128 targets across all SDGs, but it may also inhibit 58 targets. Notably, AI enables new technologies that improve efficiency and productivity, but it may also lead to increased inequalities among and within countries, thus hindering the achievement of the 2030 Agenda. The fast development of AI needs to be supported by appropriate policy and regulation. Otherwise, it would lead to gaps in transparency, accountability, safety and ethical standards of AI-based technology, which could be detrimental towards the development and sustainable use of AI. Finally, there is a lack of research assessing the medium- and long-term impacts of AI. It is therefore essential to reinforce the global debate regarding the use of AI and to develop the necessary regulatory insight and oversight for AI-based technologies.

Key facts. Cited by 100 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Apr 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 18; 2022: 16; 2023: 22; 2024: 16; 2025: 20; 2026: 8.

100 papers.

Sort:

By area:

  1. 2021Enhancing Computational Fluid Dynamics with Machine Learningcited by 137
  2. 2023E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuningcited by 70
  3. 2022Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AIcited by 58
  4. 2021Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flowscited by 44
  5. 2023How to estimate carbon footprint when training deep learning models? A guide and reviewcited by 34
  6. 2021Unraveling the Hidden Environmental Impacts of AI Solutions for Environmentcited by 32
  7. 2023Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forwardcited by 28
  8. 2023The Efficiency Spectrum of Large Language Models: An Algorithmic Surveycited by 25
  9. 2022Does Simultaneous Speech Translation need Simultaneous Models?cited by 22
  10. 2022Physics-informed deep-learning applications to experimental fluid mechanicscited by 21
  11. 2022Towards Climate Awareness in NLP Researchcited by 19
  12. 2022Improving aircraft performance using machine learning: a reviewcited by 19
38 more
  1. 2021Interpretable deep-learning models to help achieve the Sustainable Development Goalscited by 18
  2. 2022Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learningcited by 14
  3. 2024Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Reportcited by 13
  4. 2021Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flowscited by 12
  5. 2023Efficient automatic design of robotscited by 11
  6. 2025AgriGPT: a Large Language Model Ecosystem for Agriculturecited by 11
  7. 2021Voluntary safety commitments provide an escape from over-regulation in AI developmentcited by 10
  8. 2022Predicting the temporal dynamics of turbulent channels through deep learningcited by 10
  9. 2025Geospatial Foundation Models to Enable Progress on Sustainable Development Goalscited by 9
  10. 2022A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challengescited by 7
  11. 2023An effective theory of collective deep learningcited by 7
  12. 2023China and the U.S. produce more impactful AI research when collaborating togethercited by 6
  13. 2025FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mappingcited by 6
  14. 2023Analyzing the Impact of Companies on AI Research Based on Publicationscited by 5
  15. 2024Recommender Systems for Sustainability: Overview and Research Issuescited by 5
  16. 2023Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustnesscited by 4
  17. 2023DeepEn2023: Energy Datasets for Edge Artificial Intelligencecited by 4
  18. 2023ProCoT: Stimulating Critical Thinking and Writing of Students through Engagement with Large Language Models (LLMs)cited by 4
  19. 2024Responsible AI for Earth Observationcited by 4
  20. 2025Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reportingcited by 4
  21. 2021Remote sensing and AI for building climate adaptation applicationscited by 3
  22. 2021Artificial intelligence for Sustainable Energy: A Contextual Topic Modeling and Content Analysiscited by 3
  23. 2022Artificial intelligence in government: Concepts, standards, and a unified frameworkcited by 3
  24. 2023Towards credible visual model interpretation with path attributioncited by 3
  25. 2024Stereotype Detection in LLMs: A Multiclass, Explainable, and Benchmark-Driven Approachcited by 3
  26. 2024Surveying Attitudinal Alignment Between Large Language Models Vs. Humans Towards 17 Sustainable Development Goalscited by 3
  27. 2024Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systemscited by 3
  28. 2025GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devicescited by 3
  29. 2025Can Global XAI Methods Reveal Injected Behaviours in LLMs? SHAP vs Rule Extraction vs RuleSHAPcited by 3
  30. 2021Immune Moral Models? Pro-Social Rule Breaking as a Moral Enhancement Approach for Ethical AIcited by 2
  31. 2023Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safetycited by 2
  32. 2023Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformercited by 2
  33. 2024Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systemscited by 2
  34. 2024Integrating ESG and AI: A Comprehensive Responsible AI Assessment Frameworkcited by 2
  35. 2024A framework for measuring the training efficiency of a neural architecturecited by 2
  36. 2024Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation frameworkcited by 2
  37. 2025Position: Neglecting the Sustainability of AI is Fuelling a Global AI Arms Racecited by 2
  38. 2021Artificial Intelligence in Achieving Sustainable Development Goalscited by 1

50 most cited of 100 All 100 (JSON)