Industry 4.0
Vol. 7 (2022), Issue 3, pg(s) 98-101

BUSINESS & “INDUSTRY 4.0”

The role of accountants for ethical and sustainable artificial intelligence adoption

  • 1 Faculty of Economics and Business Administration – Sofia University “St. Kliment Ohridski”, Bulgaria

Abstract

It is considered that artificial intelligence (AI) adoption will considerably amplify in the next decade and impact our lives in all three dimensions – environmental, social and governance. Therefore, deriving sustainable long-term value from AI mass implementation requires organisations to follow an ethical and responsible path. It is considered that accounting professionals will play a significant role in managing this process due to their commitment to ethics and ethical behaviour when performing the assigned tasks within the accounting and finance function. For instance, they might play an important part in complying with regulation and ethics policies, data management, including its quality and confidentiality, as data feeds AI, building understanding of how AI is used in the industry. Moreover, accountants could actively participate in cross-functional teams and efficiently communicate issues related to AI ethics and sustainability. In the light of the challenges from the mass adoption of AI, this paper aims at outlining the perspectives and opportunities towards the accountancy profession in the ethical and sustainable AI implementation in organisations

Keywords

References

  1. ACCA & CAANZ, Ethics for Sustainable AI Adoption: Connecting AI and ESG, August 2021, https://www.accaglobal.com/gb/en/professional-insights/technology/ai_ethics.html (accessed 20.12.2021).
  2. ACCA & EY, Meaningful Work for the Digital Professional, July 2020, https://www.accaglobal.com/ie/en/professional-
  3. insights/technology/Meaningful_Work_Digital_Professional.ht ml (accessed 20.12.2021).
  4. ACCA, Professional Accountants at the Heart of Sustainable Organisations, September 2021, https://www.accaglobal.com/uk/en/professional-insights/pro-accountants-the-future/pro-accountants-heart-sustainable-orgs.html (accessed 20.12.2021).
  5. UNDP,https://www.undp.org/sustainable-development-goals?utm_source=EN&utm_medium=GSR&utm_content=US_ UNDP_PaidSearch_Brand_English&utm_campaign=CENTRA L&c_src=CENTRAL&c_src2=GSR&gclid=EAIaIQobChMIqa uR1OG29wIVnY9oCR3ojAU0EAAYAiAAEgLGq_D_BwE (accessed 08.01.2022).
  6. United Nations Global Compact, The Ten Principles of the UN Global Compact, https://www.unglobalcompact.org/what-is-gc/mission/principles, (accessed 08.01.2022).
  7. UN, Ecosystem Accounting in the News, 2021, https://seea.un.org/content/ecosystem-accounting-news, (accessed 08.01.2022).
  8. System of Environmental Economic Accounting, https://seea.un.org/content/homepage (accessed 16.01.2022).
  9. Amodei, D, Hernandez, D. Sastry, G., Clark, J. Brockman, G. and Sutskever, I., AI and Compute [website article], May 16, 2018, https://openai.com/blog/ai-and-compute/ (accessed 25.01.2022).
  10. Stancheva-Todorova, E., Integrating Big Data analytics competence into the accounting curriculum, Conference Proceedings “Contemporary Management Practices X Connectivity and Regional Partnerships”, Bourgas Free University, pp. 170-177, 2019.
  11. Marr, B., What is Unstructured Data and Why is it so Important for Businesses? An Easy Explanation for Anyone, [online article], Forbes, 16 October 2019, https://www.forbes.com/sites/bernardmarr/2019/10/16/what-is-unstructured-data-and-why-is-it-so-important-to-businesses-an-easy-explanation-for-anyone/?sh=67c1162f15f6 (accessed 20.11.2021).
  12. Bogdanova, B. & Stancheva-Todorova, E., ML-based predictive modelling of stock market returns, AIP Conference Proceedings, 2333 (150006), 2021. https://doi.org/10.1063/5.0042805
  13. Stancheva-Todorova, E. & Dimitrova, M., IT Solutions, plc.: introducing a Big data case into the accounting curriculum, Proceedings of CBU in Economics and Business, 2 (2021), pp. 88-94. https://doi.org/10.12955/peb.v2.259
  14. Dykes, J., The Carbon Footprint of AI and Cloud Computing, [online article], Geographical, November 2020, https://geographical.co.uk/nature/energy/item/3876-the-carbon-footprint-of-ai-and-cloud-computing/ (accessed 10.01. 2022).
  15. Doyle, K., IBM’s Peters Calls for Responsible Computing in #ITWebcloud2021 Keynote [website article], ITWeb, 24 February 2021, https://www.itweb.co.za/content/mYZRXM9aw86MOgA8 (accessed 16.02.2022).
  16. ACCA, Machine learning with Python for finance professionals, https://www.edx.org/course/machine-learning-with-python-for-finance-professionals, 2021, (accessed 11.12.2021).
  17. European Commission, Screening of Websites for “Greenwashing”: Half of Green Claims Lack Evidence, [online press release], 28 January 2021, https://ec.europa.eu/commission/presscorner/detail/en/IP_21_26 9, (accessed 21.01.2022).
  18. Adams, C.A.., Alhamood, A., He, X., Tian, J., Wang, L. and Wang, Y., The Double Materiality Concept: Application and Issues, https://www.globalreporting.org/media/jrbntbyv/griwhitepaper-publications.pdf, 2021, (accessed 21.12.2021).
  19. European Commission, Guidelines on non-financial reporting: supplement on reporting climate related information, https://eur-lex.europa.eu/legal-content/ EN/TXT/PDF/?uri=CELEX:52019XC0620(01)&from=EN, 2019, (accessed 21.01.2022).
  20. Metz, R., This $5 billion Insurance Company Likes to Talk Up its AI. Now it’s in a Mess over It’ [website article], CNN Business, 27 May 2021, https://amp-cnn-com.cdn.ampproject.org/ c/s/amp.cnn.com/cnn/2021/05/27/tech/lemonade-ai-insurance/ index.html, (accessed 21.12.2021).
  21. Australian Government (Department of Industry, Science, Energy and Resources), The Artificial Intelligence (AI) Action Plan,https://www.industry.gov.au/data-and-publications/australias-artificial-intelligence-action-plan, 2021, (accessed 02.02..2022)
  22. Mari, A., Brazil Publishes National Artificial Intelligence Strategy’ [website article], https://www.zdnet.com/ article/brazil-publishes-national-artificial-intelligence-strategy/, 2021, (accessed 02.02.2022).
  23. SG:D, IM and PDPC, Model Artificial Intelligence Governance Framework, 2nd edn., https://www.pdpc.gov. sg/-/media/files/pdpc/pdf-files/resource-for-organisation/ai/ sgmodelaigovframework2.pdf, 2020, (accessed 02.02.2022).
  24. European Commission, Europe Fit for the Digital Age: Commission Proposes New Rules and Actions for Excellence and Trust in Artificial Intelligence, [website article], April 2021, https://ec.europa.eu/commission/presscorner/detail/en/ip_21_16 82, (accessed 02.02.2022).
  25. Skelton, S.K., Europe’s Proposed AI Regulation Falls Short on Protecting Rights’ [online article], Computer Weekly, 14 June 2021, https://www-computerweekly-com.cdn.ampproject.org/c/s/ www.computerweekly.com/feature/Europes-proposed-AI-regulation-falls-short-on-protecting-rights?amp=1, (accessed 02.02.2022).
  26. Golbin, I. and Axente, M.L., 9 Ethical AI Principles for Organizations to Follow, [website article], 23 June 2021, https:// www.weforum.org/agenda/2021/06/ethical-principles-for-ai/, (accessed 02.02.2022).
  27. Sloane, M., Participation-washing Could Be the Next Dangerous Fad in Machine Learning’ [online article], MIT Technology Review. 25 August 2020, https://www.technologyreview. com/2020/08/25/1007589/participation-washing-ai-trends-opinion-machine-learning/, (accessed 05.02.2022).
  28. Stancheva-Todorova, E., The Relevance of the Fundamental Ethics Principles for Professional Accountants in the Digital Age, Conference Proceedings “Digital Transformations, Media and Inclusion”, Bourgas Free University, pp. 183-190, 2020.

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