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With the news that fewer than half of all professional accountants have a basic understanding of how an artificial intelligence (AI) algorithm works, now would appear to be the time to invest in building awareness of the impact that AI can have on ethics and sustainability.
This is just one finding revealed in a wide-ranging study of the impact that the rapid adoption of AI is having on organisations around the world. In particular, the study, ‘Ethics for sustainable AI adoption’ (produced in partnership with CA ANZ with whom ACCA has a Strategic Alliance), focuses on the importance of prioritising an ethical approach to using AI and how this cuts across all three of the environmental, social and governance (ESG) aspects of running an organisation.
This is particularly important for professional accountants; the survey reveals that one in five (19 per cent) of accountants say that their organisation has adopted AI within finance-related tasks or functions, with seven per cent saying that it is already included in audit and assurance work.
However, at the same time, the survey also reveals that more than half (51 per cent) believe that AI is having a positive impact on their ability to live according to their values.
The study reports that the last few years have seen intense global activity to establish some essential principles underlying an ethical approach to AI. While there are differences in emphasis, they tend to agree on certain broad principles for a responsible AI system. These include fairness, accountability, sustainability and transparency, as well as human oversight, the ethical use of data, safety and robustness, and standards and law.
Accountants centre stage
As such, professional accountants are well-placed to take a lead on these ethical principles. ”Finance leaders have an opportunity to leverage their sound ethical judgment alongside commercial and operational knowledge,” the author of the report, ACCA’s head of business insights Narayanan Vaidyanathan, says. ”The ethical deployment of AI will need checks and balances to ensure long-term value – an area where they can lead.”
Participants in the survey agree. Karen Smith FCCA, a partner in IBM, says: ”Finance leaders have a mix of strategic, financial, operational and governance skills that make them ideal for driving the adoption of ethical practices when using AI in their organisations.”
This is why understanding the basics of any algorithm is so important. Algorithms are shaped by ideas, cultures and values. This, therefore, places an onus on an accountant’s professional competence and due care to understand what the algorithm is doing.
It also requires integrity in not passing accountability to the algorithm itself; professional judgment cannot be replaced by a compliance-based checklist, the report’s authors argue.
All in the data
Data lie at the heart of AI. The survey results reveal that about half the respondents (51 per cent) consider their organisations to be effective at maintaining both data quality and data confidentiality. But while 25 per cent report that their organisations are ‘very effective’ at managing confidentiality, only 16 per cent claim this level of effectiveness for data quality. The difference could be linked to the compliance aspect of the former, the report concludes.
While there is some similarity in the overall picture of the level of effectiveness across quality and confidentiality, the two differ on where the challenges to effectiveness lie. For data quality, the core issue is the point when the data first enter the organisation. But for confidentiality, the biggest area of challenge reported was in the secure storage phase of the data lifecycle.
”AI is one of the most exciting, transformational technological developments of our time,” Vaidyanathan says. ”But technology has the potential both to improve lives and to cause harm. Ultimately, it is the ethical and sustainable adoption of AI that will determine its relevance and usability.”
Author: Philip Smith, Journalist
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