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AI for social good: unlocking the opportunity for positive impact

Author

Listed:
  • Nenad Tomašev

    (DeepMind)

  • Julien Cornebise

    (University College London)

  • Frank Hutter

    (University of Freiburg
    Bosch Center for Artificial Intelligence)

  • Shakir Mohamed

    (DeepMind)

  • Angela Picciariello

    (Oxfam GB)

  • Bec Connelly

    (RNW Media)

  • Danielle C. M. Belgrave

    (Microsoft Research)

  • Daphne Ezer

    (University of Warwick
    Alan Turing Institute)

  • Fanny Cachat van der Haert

    (International Commission of Jurists)

  • Frank Mugisha

    (Chemonics International Inc.)

  • Gerald Abila

    (BarefootLaw)

  • Hiromi Arai

    (RIKEN Center for AI Project)

  • Hisham Almiraat

    (Justice and Peace Netherlands)

  • Julia Proskurnia

    (Google)

  • Kyle Snyder

    (RNW Media)

  • Mihoko Otake-Matsuura

    (RIKEN Center for AI Project)

  • Mustafa Othman

    (Shaqodoon Organization)

  • Tobias Glasmachers

    (Ruhr-University Bochum)

  • Wilfried de Wever

    (SEMA
    Humanity Solutions)

  • Yee Whye Teh

    (DeepMind
    University of Oxford)

  • Mohammad Emtiyaz Khan

    (RIKEN Center for AI Project)

  • Ruben De Winne

    (Oxfam Novib)

  • Tom Schaul

    (DeepMind)

  • Claudia Clopath

    (Imperial College London)

Abstract

Advances in machine learning (ML) and artificial intelligence (AI) present an opportunity to build better tools and solutions to help address some of the world’s most pressing challenges, and deliver positive social impact in accordance with the priorities outlined in the United Nations’ 17 Sustainable Development Goals (SDGs). The AI for Social Good (AI4SG) movement aims to establish interdisciplinary partnerships centred around AI applications towards SDGs. We provide a set of guidelines for establishing successful long-term collaborations between AI researchers and application-domain experts, relate them to existing AI4SG projects and identify key opportunities for future AI applications targeted towards social good.

Suggested Citation

  • Nenad Tomašev & Julien Cornebise & Frank Hutter & Shakir Mohamed & Angela Picciariello & Bec Connelly & Danielle C. M. Belgrave & Daphne Ezer & Fanny Cachat van der Haert & Frank Mugisha & Gerald Abil, 2020. "AI for social good: unlocking the opportunity for positive impact," Nature Communications, Nature, vol. 11(1), pages 1-6, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15871-z
    DOI: 10.1038/s41467-020-15871-z
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    Citations

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    Cited by:

    1. Henrik Skaug Sætra, 2021. "A Framework for Evaluating and Disclosing the ESG Related Impacts of AI with the SDGs," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    2. Ciurea Iulia-Cristina, 2024. "The Impact of the EU AI Act on the UN Sustainable Development Goals for 2030 – A Text Analysis," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 2857-2870.
    3. Abou-Foul, Mohamad & Ruiz-Alba, Jose L. & López-Tenorio, Pablo J., 2023. "The impact of artificial intelligence capabilities on servitization: The moderating role of absorptive capacity-A dynamic capabilities perspective," Journal of Business Research, Elsevier, vol. 157(C).
    4. Wilson, Christopher & van der Velden, Maja, 2022. "Sustainable AI: An integrated model to guide public sector decision-making," Technology in Society, Elsevier, vol. 68(C).
    5. Nasir, Osama & Javed, Rana Tallal & Gupta, Shivam & Vinuesa, Ricardo & Qadir, Junaid, 2023. "Artificial intelligence and sustainable development goals nexus via four vantage points," Technology in Society, Elsevier, vol. 72(C).
    6. Ksenia V. Ekimova, 2023. "Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    7. Scott Robbins & Aimee van Wynsberghe, 2022. "Our New Artificial Intelligence Infrastructure: Becoming Locked into an Unsustainable Future," Sustainability, MDPI, vol. 14(8), pages 1-11, April.
    8. Isensee, Carmen & Griese, Kai-Michael & Teuteberg, Frank, 2022. "Sustainable Artificial Intelligence im Marketing am Beispiel des SDG 12," PraxisWISSEN Marketing: German Journal of Marketing, AfM – Arbeitsgemeinschaft für Marketing, vol. 7(01/2022), pages 33-46.
    9. Hua Du & Yanchao Sun & Haozhe Jiang & A. Y. M. Atiquil Islam & Xiaoqing Gu, 2024. "Exploring the effects of AI literacy in teacher learning: an empirical study," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    10. Brea, Edgar, 2024. "The yin yang of AI: Exploring how commercial and non-commercial orientations shape machine learning innovation," Research Policy, Elsevier, vol. 53(6).
    11. Wumi AJAYI & Adekoya Damola Felix & Ojarikre Oghenenerowho Princewill & Fajuyigbe Gbenga Joseph, 2024. "Software Engineering’s Key Role in AI Content Trustworthiness," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(4), pages 183-201, April.

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