Technical Briefing: AI and Ethics

Summary

AI is transforming how accountants and finance professionals work, offering unprecedented efficiency and insights. But with these advancements come significant ethical challenges that demand careful consideration. These challenges arise both at the development stage and as the AI “learns”. All five of the core ethical principles are at stake, alongside a number of more general societal issues. ACCURACY When using an AI system, you must be confident that the outputs are correct and free from bias.

TRANSPARENCY We must be open about the fact that AI has been used, and we must remain able to explain the way in which figures have been calculated and conclusions have been arrived at. RESPONSIBILITY The responsibility for data and conclusions, and for the governance structures around AI, always remains with the humans.

AI AND ETHICS | SUMMARY

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