If you have ever stared at a long list of options and felt your brain just give up, you are not alone. Researchers at Cornell University get it, and they have built a tool called Interactive Explainable Ranking (IER) that steps in right at that moment, not to decide for you, but to quietly point out when your choices do not match the values you care about.
How does this tool actually work?
IER doesn’t hand over decisions to AI but uses it to make sure your decisions actually make sense. Think of it like a reality check for your own thinking. Research suggests AI can erode your problem-solving skills in as little as ten minutes, but this one is designed to keep you in control.
Suppose you are trying to pick a car. You tell the tool which factors matter most to you, things like cost, reliability, and fuel efficiency. The tool then walks you through a series of head-to-head comparisons, using AI to figure out the most useful questions to ask.
If your actual choices do not line up with the values you said you cared about, the tool flags the contradiction. Maybe you keep picking red cars without realizing it. The tool surfaces that pattern and asks you to either adjust your ranking or explain why color should count as a real factor.
The result is a final choice that you can actually explain and defend. You can also turn the AI function off entirely for situations where using AI feels inappropriate.
Has it been tested in the real world?
Yes, and it held up well. Researchers ran two experiments – one where participants ranked short films, and another where four teaching assistants ranked ten student projects from a Cornell computer graphics course. Both tests showed consistent and explainable results that matched existing grades.
The tool won a Best Paper Award at the ACM CHI conference, one of the top gatherings on human-computer interaction. IER is publicly available if you want to try it on your next big decision.
This tool is not built for everyday, low-stakes calls but for moments where getting the decision right actually matters, such as hiring, grading, or competitive selections. Since AI is already freeing up your time on routine tasks, thinking more carefully about the decisions that remain seems worth it.
