Can AI Agents Learn From Expert Corrections?

The Neuron · 1 week ago

OpenAI researchers developed a method for AI agents to learn from corrections made by accountants within tax preparation workflows. The system converts accountant feedback into structured training signals that help agents improve their performance on specific tasks. This allows AI agents to operate safely alongside experts by learning from their interventions rather than requiring blind trust in the agent's autonomous decisions.