AI Monitor:
Risk and responsibility.

Understanding the risks posed by Artificial Intelligence (AI) raises three key challenges for accounting professionals – identifying and managing AI risk as a user in any role, supporting a collaborative approach to risk management, and helping to understand and prepare for regulatory compliance.
Amid an advancing need to navigate between the hype and genuine benefits of AI, organisations and governments worldwide are grappling to better understand the risks and unintended consequences posed by AI.
AI risks are diffuse, which means – as discussed in our Risk Culture reports – a collaborative approach to risk management is ever-more vital. It’s no surprise then that the global regulatory landscape is also rapidly evolving, with over 300 laws and regulations in development across the world.
This report explores practical insights drawing on experience from industry leaders – providing actionable guidance to help accounting professionals manage the risks associated with AI.
Acknowledgements
Extra special thanks to Rashika Fernando and Alec Manning. But also, thanks to all members of the ACCA’s of Technology Global Forum:
Dev Ramnarine (Chair)
Alastair Barlow
Alex Falcon Huerta
Brad Monterio
Heather Smith
James Best
Krishna Chaitanya Maddula
Rashika Fernando
Reshma Mahase
Robert van der Klauw
Bilal Surahyo
Scott McHone
Alec Manning
Andrew Chong
Sources
Bengio, Y., et al. (2024). International Scientific Report on the Safety of Advanced AI: Interim Report. International Scientific Report on the Safety of Advanced AI, Report 1 (interim report).
Deloitte LLP. (2024). AI risk and approaches to global regulatory compliance. Retrieved from AI risk and approaches to global regulatory compliance | Deloitte UK.
Lee et al. (2025). The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers. CHI Conference on Human Factors in Computing Systems.
McIntosh, T. R., Susnjak, T., Liu, T., Watters, P., Nowrozy, R., & Halgamuge, M. N. (2024). From COBIT to ISO 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language models.
Nativi S. and De Nigris S. (2021). AI Watch: AI Standardisation Landscape state of play and link to the EC proposal for an AI regulatory framework. EUR 30772 EN, Publications Office of the European Union, Luxembourg, ISBN 978-92-76-40325-8.
Nosta, J. (2025). The death of "I don't know": Is AI making us smarter or just more certain? Psychology Today.
Olavsrud, Thor. (2024) 12 famous AI disasters. CIO, Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Act) (Text with EEA relevance) PE/24/2024/REV/1, OJ L, 2024/1689, 12.7.2024.
Slattery, P., Saeri, A. K., Grundy, E. A. C., Graham, J., Noetel, M., Uuk, R., Dao, J., Pour, S., Casper, S., & Thompson, N. (2024). A systematic evidence review and common frame of reference for the risks from artificial intelligence.