A Game to Test AI’s Ability to Apologize
In case you are struggling to apologize for your mistakes then AI might help you to do that. This test is concocted to understand whether robots can understand social intelligence and how they will find the answers for a particular situation. If someone is willing to apologize and not finding the correct word to do it, this app can help you to find the right words based on the scenario and the person to whom you are willing to apologize.
The project was created to test this AI ability and understand whether it is giving appropriate answers or not. Companies that are exclusive to AI-powered chatbots have been using this method to test their AI responses. A psychology professor who studies apologies at Wilfrid Laurier University in Waterloo, Ontario, Canada, Judy Eaton said, “We all kind of know what to say in an apology. This information isn’t a secret, but we get it wrong so often.” She also added, “Apologies aren’t just about saying the right words, it’s about bringing in the physiological responses of what researchers call ‘psychic pain’. If you’re truly remorseful, it hurts. If that pain doesn’t come through in the apology, people can detect that it’s not a real manifestation of vulnerability.”
According to Cerulo, “A couple of things were important,” in this respect, Cerulo is a professor emeritus at Rutgers University in New Jersey, and there’s a formula to apologize effectively, the shorter the apology is the more effective it will be. “It’s pretty simple,” Cerulo says, “but people still have a hard time doing it”. They are working on certain aspects of AI apology including Human Apology A, Human Apology B, Google Gemini Apology, and ChatGPT Apology. Yet, for more competitive options the game turned out to be rigid and didn’t produce effective answers to this.
Eaton said, “I’ve run experiments like this before where we told participants they weren’t playing with a real person.” She also added, “It didn’t seem to matter. People don’t like losing.” Initially, it was producing mixed results causing sheer confusion. Yet, for this Eaton said, “That doesn’t surprise me,” she also added, “People can be more critical when you ask them to be objective, but people are nice. It makes sense that they were more willing to forgive.” But in the final round of the robot uttering “Sorry” everyone was satisfied with the outcome.
Their human apologizer, Fehr said, there was a meaningful difference “With the second apology, I tried to increase the empathy and humanize the offender,” after the final round. He also added, “My goal was to create a situation where it felt more like two humans interacting with each other.” he also mentioned, “Google [Gemini] did the one thing you’re not supposed to do, which is to say ‘I’m sorry if…’ That’s not taking responsibility. It almost sounds like it’s the other person’s fault.” Google Gemini framed the problem after ruining the other players by opting for the right words he added.
