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The AI ESG protocol: Evaluating and disclosing the environment, social, and governance implications of artificial intelligence capabilities, assets, and activities

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  • Henrik Skaug Sætra

Abstract

AI and data are key strategic resources and enablers of the digital transition. Artificial Intelligence (AI) and data are also intimately related to a company's environment, social, and governance (ESG) performance and the generation of sustainability related impacts. These impacts are increasingly scrutinized by markets and other stakeholders, as ESG performance impacts both valuation and risk assessments. It impacts an entity's potential to contribute to good, but it also relates to risks concerning, for example, alignment with current and coming regulations and frameworks. There is currently limited information on and a lack of a unified approach to AI and ESG and a need for tools for systematically assessing and disclosing the ESG related impacts of AI and data capabilities. I here propose the AI ESG protocol, which is a flexible high‐level tool for evaluating and disclosing such impacts, engendering increased awareness of impacts, better AI governance, and stakeholder communication.

Suggested Citation

  • Henrik Skaug Sætra, 2023. "The AI ESG protocol: Evaluating and disclosing the environment, social, and governance implications of artificial intelligence capabilities, assets, and activities," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 1027-1037, April.
    • Handle: RePEc:wly:sustdv:v:31:y:2023:i:2:p:1027-1037
    DOI: 10.1002/sd.2438
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    1. Stefan Ambec & Mark A. Cohen & Stewart Elgie & Paul Lanoie, 2013. "The Porter Hypothesis at 20: Can Environmental Regulation Enhance Innovation and Competitiveness?," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 7(1), pages 2-22, January.
    2. Gunnar Friede & Timo Busch & Alexander Bassen, 2015. "ESG and financial performance: aggregated evidence from more than 2000 empirical studies," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 5(4), pages 210-233, October.
    3. Verhoef, Peter C. & Broekhuizen, Thijs & Bart, Yakov & Bhattacharya, Abhi & Qi Dong, John & Fabian, Nicolai & Haenlein, Michael, 2021. "Digital transformation: A multidisciplinary reflection and research agenda," Journal of Business Research, Elsevier, vol. 122(C), pages 889-901.
    4. Florian Berg & Julian F Kölbel & Roberto Rigobon, 2022. "Aggregate Confusion: The Divergence of ESG Ratings [Corporate social responsibility and firm risk: theory and empirical evidence]," Review of Finance, European Finance Association, vol. 26(6), pages 1315-1344.
    5. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    6. R. Freeman & Kirsten Martin & Bidhan Parmar, 2007. "Stakeholder Capitalism," Journal of Business Ethics, Springer, vol. 74(4), pages 303-314, September.
    7. Fafaliou, Irene & Giaka, Maria & Konstantios, Dimitrios & Polemis, Michael, 2022. "Firms’ ESG reputational risk and market longevity: A firm-level analysis for the United States," Journal of Business Research, Elsevier, vol. 149(C), pages 161-177.
    8. Li Li Eng & Mahelet Fikru & Thanyaluk Vichitsarawong, 2021. "Comparing the informativeness of sustainability disclosures versus ESG disclosure ratings," Sustainability Accounting, Management and Policy Journal, Emerald Group Publishing Limited, vol. 13(2), pages 494-518, December.
    9. Saeed Nosratabadi & Amir Mosavi & Shahaboddin Shamshirband & Edmundas Kazimieras Zavadskas & Andry Rakotonirainy & Kwok Wing Chau, 2019. "Sustainable Business Models: A Review," Sustainability, MDPI, vol. 11(6), pages 1-30, March.
    10. Geert Demuijnck & Björn Fasterling, 2016. "The Social License to Operate," Journal of Business Ethics, Springer, vol. 136(4), pages 675-685, July.
    11. Magdalena Marczewska & Mariusz Kostrzewski, 2020. "Sustainable Business Models: A Bibliometric Performance Analysis," Energies, MDPI, vol. 13(22), pages 1-30, November.
    12. Du, Shuili & Xie, Chunyan, 2021. "Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities," Journal of Business Research, Elsevier, vol. 129(C), pages 961-974.
    13. Li Li Eng & Mahelet Fikru & Thanyaluk Vichitsarawong, 2021. "Comparing the informativeness of sustainability disclosures versus ESG disclosure ratings," Sustainability Accounting, Management and Policy Journal, Emerald Group Publishing Limited, vol. 13(2), pages 494-518, December.
    14. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
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