Trustworthy AI in Biometrics: A Comprehensive Review of Trends and Challenges

Abstract

Deep Learning (ML) and Artificial Intelligence (AI) are rapidly spreading over many application domains. However, the creation of intelligent systems is constrained by inherent flaws in the learning algorithms that are employed. One major barrier to the application of these techniques is the unpredictable nature of model performance. The reliability of a model is determined by its capacity to remove biases, elucidate findings, and adapt to changes in input data. The idea of trustworthy AI uses a variety of machine learning techniques to explain a model’s decision-making process, hence boosting user confidence in the model’s output. The significance of reliable AI in the context of biometrics is the main topic of this study. Our survey identifies the several types of reliable AI that can be used to increase the dependability of the choices made.