Humans are bad at making complex decisions. AI can call them out
Humans are bad at making complex decisions. AI can call them out
Publish Date: 2026-05-14 09:41:00
Source Domain: news.cornell.edu
- New decision-making tool developed by Cornell researchers uses AI to help users make difficult decisions more efficiently, explainably, and fairly.
- The tool, designed by Abe Davis and Chao Zhang, is named “Interactive Explainable Ranking” and won a Best Paper Award.
- The tool aims to resolve the tension between consistency and bias in human decision-making by helping users weigh important criteria and identify inconsistencies in their rankings.
- It works by first having the user rate the importance of choices and then comparing user preferences to find mismatches, prompting users to adjust their rankings or adding new criteria.
- The tool can highlight unconscious biases and assists in making the final decision but allows users to disable AI for sensitive applications.
- The tool has been tested successfully in grading short films and student projects, showing consistent and accurate assessments among users.
