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Sustainable AI - Standards, Current Practices and Recommendations

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Proceedings of the Future Technologies Conference (FTC) 2023, Volume 1 (FTC 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 813))

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Abstract

Artificial Intelligence (AI) and Sustainability are two most evolving socio-technical areas of today’s world. The potential impacts of AI on the society from sustainability point of view, are of utter importance and demands that AI technologies are developed, deployed and used in a sustainable manner. In this paper, we explore the synergy between AI and sustainability, highlighting the key considerations around the intersection of these two domains. The paper discusses the concept of Sustainable AI and key challenges with it, in detail. It also reviews the emerging methodologies and standards in AI and Sustainability, and some of the popular and fast-evolving AI case studies that have significant bearings from sustainability point of view. The paper also identifies the key challenges involved in Sustainable AI and recommends best practices to address those challenges. The paper concludes with a reference architecture with capabilities that can help in implementing those recommendations to realize Sustainable AI with Governance.

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Author information

Authors and Affiliations

  1. IBM Silicon Valley Lab, San Jose, CA, 95141, USA

    Indervir Singh Banipal & Sourav Mazumder

  2. IBM Research, San Jose, CA, 95120, USA

    Shubhi Asthana

Authors
  1. Indervir Singh Banipal
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  2. Shubhi Asthana
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  3. Sourav Mazumder
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Corresponding author

Correspondence to Indervir Singh Banipal .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Banipal, I.S., Asthana, S., Mazumder, S. (2023). Sustainable AI - Standards, Current Practices and Recommendations. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2023, Volume 1. FTC 2023. Lecture Notes in Networks and Systems, vol 813. Springer, Cham. https://doi.org/10.1007/978-3-031-47454-5_21

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