AI errors can tank a company's share price when they slip into marketing, product launches, or investor communications. Organizations need rigorous human oversight and auditable controls to catch mistakes before they hit the market. Trust in AI will take years to build because these safeguards are non-negotiable.
If you're looking at AI and you get the wrong result, I don't think it's disastrous. It's an adjustment of a promotional activity, product launch that needs to be tweaked. If you're using AI, you're generating a result that then is going to be published to a market which impacts the share price, as an example. You have to absolutely make sure that you get that result correctly. Human interaction checks, balances are going to be key, core, fundamental across most organizations. That result has to be provably right with the auditability, the governance, the compliance, and the controls around it. And I think it's going to take an awful long time for people to get comfortable before they trust AI implicitly.
Trust and Leadership Lessons for FP&A From 100+ Top Leaders with CFO Jon Laudie
