Beyond Ratings: Teaching AI Empathy Through Crowdsourced Edits

Current AI training emphasizes correctness over emotional nuance, producing responses that are technically accurate but emotionally distant. Rather than relying on passive feedback ratings, this approach proposes active community editing—allowing users to directly refine AI responses, much like Wikipedia or GitHub. By treating users as collaborators rather than evaluators, this method could fundamentally reshape how AI learns, bridging the gap between technical perfection and genuine human understanding.