What XAI do?
A system called XAIR, developed lately by researchers, might assist developers in making the mechanisms underlying AI predictions more understandable. This framework, described in a paper given at and included in the Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, is specifically made to develop explainable AI (XAI) systems that may be used in various augmented reality (AR) contexts.
Why XAI gives a best experience to the researchers?
A system called XAIR, developed lately by researchers, might assist developers in making the mechanisms underlying AI predictions more understandable. This framework, described in a paper given at and included in the Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, is specifically made to develop explainable AI (XAI) systems that may be used in various augmented reality (AR) contexts.
Which are the five things that developers must address?
Developers must first handle these five aspects, identifying contextual information about their users, their status, the overall system aim, as well as the goal and profile of potential users, before using the team’s methodology. Once they’ve done this, they may easily modify and improve their XAI systems for AR applications by using the XAIR framework.
The framework can be turned into an automated or self-automated tool to help designers improve their design of XAI in AR. As AI becomes more and more powerful, we can expect AI to help automatically discover at least a portion of these five elements in the near future.