Accounting, Artificial Intelligence (AI), Environmental Social & Governance (ESG): An Integrative Viewpoint
DOI:
https://doi.org/10.33062/ajb.v9i01.47Keywords:
accounting, artifiial intelliegence, ESGAbstract
Artificial intelligence (AI) is present in every facet of contemporary life, and concerns about sustainability are receiving more attention across the board in human endeavors. Nowadays, large firms are expected to report on their operations, expose them, and account for their environmental and social footprint. This is accomplished through various frameworks, measurements, and also environmental, social, & governance standards, or ESG (Environment, Social Governance), gradually replacing the more traditional term CSR (Corporate Social Responsibility). Accountants should use AI techniques to assess and validate an organization's sustainability and net-zero commitment claims. In this manner, accountants may guarantee AI technology's moral and efficient integration into accounting procedures by validating an organization's ESG metrics and enacting change from the inside. The methodology adopted for this study includes qualitative data collection, which primarily revolved around interviews using purposive sampling. Professionals must effectively utilize AI's potential in sustainable accounting. For future research, it is crucial to develop an entire framework based on the principles described here, based on various sources that describe the integration between accounting, AI, and ESG.
References
Anderson, M., & Anderson, S. L. (2007). Machine ethics: Creating an ethical intelligent agent. AI Mag., vol. 28, no. 4, pp. 15–26. https://doi.org/10.1609/aimag.v28i4.2065
Berenberg. (2018). Understanding the SDGs in Sustainable Investing; Joh Berenberg, Gossler & Co. KG: Hamburg, Germany.
Bose, S. (2020). Evolution of ESG Reporting Frameworks. In Values at Work; Esty, D.C., Cort, T., Eds.; Palgrave McMillan: Cham, Switzerland, pp. 13–33.
Charmaz, K. and Belgrave, L.L. (2007). “Grounded theory,” in Ritzer, G. (Ed.), The Blackwell Encyclopedia of Sociology, Blackwell Publishing, Oxford, doi: 10.1002/9781405165518. wbeosg070.pub2.
Elder M. and Olsen SH. (2019). The design of environmental priorities in the SDGs. Glob Policy 10(S1):70–82. https://doi.org/10.1111/1758-5899.12596
Esty, D.C.; Cort, T. (Eds.). (2020). Values at Work: Sustainable Investing and ESG Reporting; Palgrave McMillan: Cham, Switzerland.
Gao, W., Li, M., Zou, C. (2022). Analysis of the Impact of ESG on Corporate Financial Performance under the Epidemic Based on Static and Dynamic Panel Data. Wireless Communications and Mobile Computing.
Gupta, A., Jain, V., Kumar, A., & Srivastava, P. (2021). Role of data management in enhancing AI effectiveness. International Journal of Information Management, 56, 102252. https://doi.org/10.1016/j.ijinfomgt.2020.102252
Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, (90), 46–60. https://doi.org/10.1016/j.futures.2017.03.006
Martha, H., Khomsiyah, K. (2023). The effects of environmental, social, and governance (ESG) on corporate performance. Jurnal Ilmiah Bisnis dan Ekonomi Asia 17 (1), 112–120. https://doi.org/10.32815/jibeka.v17i1.1380
Siau, K., & Wang, W. (2020). Artificial intelligence (AI) ethics. J. Database Manage., vol. 31, no. 2, pp. 74–87, 2020. https://doi.org/10.4018/JDM.2020040105
Tonjang, S. and Thawesaengskulthai, N. (2020). “A systematic literature review of TQM and innovation in healthcare - ProQuest, in a systematic literature review of TQM and innovation in healthcare,” Presented at the ISPIM Conference Proceedings, Manchester.
United Nations. (2015). Transforming Our World: The 2030 Agenda for Sustainable Development; Division for Sustainable Development Goals: New York, NY, USA.
Verbin, I. (2020). Corporate Responsibility in the Digital Age: A Practitioner’s Roadmap for Corporate Responsibility in the Digital Age; Routledge: London, UK.
Vinuesa, R.; Azizpour, H.; Leite, I.; Balaam, M.; Dignum, V.; Domisch, S.; Felländer, A.; Langhans, S.D.; Tegmark, M.; Nerini, F.F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications, 11, 1–10. https://doi.org/10.1038/s41467-019-14108-y
Wan, G., Dawod, A.Y., (2022). ESG rating and northbound capital shareholding preferences: evidence from China. Sustainability, 14 (15), 9152. https://doi.org/10.3390/su14159152
Xu, Y., Liu, X., Cao, X., Huang, C., Liu, E., Qian, S., Liu, X., Wu, Y., Dong, F., Qiu, C.-W., Qiu, J., Hua, K., Su, W., Wu, J., Xu, H., Han, Y., Fu, C., Yin, Z., Liu, M., Roepman, R., Dietmann, S., Virta, M., Kengara, F., Zhang, Z., Zhang, L., Zhao, T., Dai, J., Yang, J., Lan, L., Luo, M., Liu, Z., An, T., Zhang, B., He, X., Cong, S., Liu, X., Zhang, W., Lewis, J. P., Tiedje, J. M., Wang, Q., An, Z., Wang, F., Zhang, L., Huang, T., Lu, C., Cai, Z., Wang, F., Zhang, J. (2021). Artificial intelligence: A powerful paradigm for scientific research. The Innovation, vol. 2, no. 4. article 100179. https://doi.org/10.1016/j.xinn.2021.100179
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Riana Silitonga, Vicky Pratama Putra, Yung-Tsan Jou, Ronald Sukwadi
![Creative Commons License](http://i.creativecommons.org/l/by-sa/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.