Should you trust a bot with the big decisions?
A new CCAB podcast asks the question, and the hosts are AI
Within the first two minutes of the CCAB’s new podcast, the hosts make a confession. ‘Neither of us is human,’ says Sam. ‘The voices you’re listening to, Alex and me, are actually generated by AI. The script we’re reading and this whole podcast were created using AI too.’
It is a fitting way to open a series about the ethics of artificial intelligence in accountancy. Ethics in the Age of AI was created using AI from script to studio, with the case studies developed with the help of AI and quality assured by the human experts on the CCAB Ethics Group. AI doing the work, with responsible humans in the loop. That, as the series goes on to argue, is rather the point.
This episode asks a question that more and more finance professionals are facing: how much should you trust AI when the stakes are really high?
A strategy written by a machine
The first scenario will feel uncomfortably plausible to anyone who has faced an impossible deadline. A CFO at a manufacturing business is given two weeks to produce a three-year strategy for the board. Under pressure, they turn to a free, publicly available AI tool, feeding in financial data, previous reports and market analyses. What comes back looks superb: polished, sophisticated, board-ready.
Then they read it properly. The AI recommends significant staff cuts and outsourcing operations to a jurisdiction flagged as high risk for money laundering, with a poor human rights record, because on paper it saves 40 per cent on costs. The projections look optimistic. Some competitor references may not even be public information. And all of that commercially sensitive data has been uploaded to a free platform with no data protection agreement in sight.
As the hosts unpack, this single scenario touches nearly all five fundamental principles in the CCAB codes of ethics, from integrity and objectivity to confidentiality. Presenting the document to the board without disclosing how it was produced would be misleading, even if every word were technically accurate. The omission itself is a form of dishonesty.
When the algorithm meets the public purse
The second scenario moves into government, where an AI system analysing public expenditure recommends defunding a long-running community health initiative in a deprived area. The programme’s qualitative benefits, from community cohesion to preventative healthcare, do not show up neatly in the data. Worse, initial checks suggest the AI’s training data underrepresents the area’s socio-economic profile, meaning the system may be systematically biased against programmes serving communities that are already underrepresented in data.
The episode lands on a principle that sits at the heart of the profession: the accountant’s duty to act in the public interest. As Alex puts it, when the numbers affect a deprived community’s access to healthcare, that duty is not abstract. The public interest has to be weighed in the balance, not just the predicted return on investment.
The thread that connects them
AI is powerful and AI can genuinely help, the hosts conclude, but it does not have professional ethics. It does not weigh reputational risk, and it does not know that a community has been depending on a health programme for 15 years. AI is a tool. You are the professional. The judgement, and the responsibility, stays with you.
Listen to episode one of Ethics in the Age of AI below or subscribe on Apple Podcasts, Spotify, Amazon Music or your favourite podcast library, and explore the full case studies and ethical frameworks behind the series at ccab.org.uk.