Enhancing the Fairness and Performance of Edge Cameras with Explainable AI
The rising use of Artificial Intelligence (AI) in human detection on Edge camera systems has led to accurate but complex models, challenging to interpret and debug. The research described in this paper presents a diagnostic method using XAI for model debugging, with expert-driven problem identification and solution creation. The approach helps identify model biases, essential for achieving fair and trustworthy models.