Ethical implications of using artificial intelligence for multimodal biometric selection model evaluation

In today's digital world, information security, and person In today's digital world, information security, and personal authentication are major concerns. As technology has advanced, so have the methods used to authenticate users. Multimodal biometric selection combines several biometric methods to authenticate users. However, before any biometric system can be used in the public domain, it must be analysed and evaluated to ensure that it is usable and that the system considers the ethical aspect of the end-user. This process is necessary to ensure that all individuals affected by the implementation are aware of the ethical implications of biometric use and that any risks are properly assessed. To ensure the accuracy of the selection process, survey and evaluation techniques have been implemented to enhance the multimodal biometric selection processes for public domain authentication. Furthermore, the paper discusses the ethical implications and the potential impact of the use of multimodal biometrics in the public domain. The model was assessed using a confirmatory factor analysis quantitative research survey. In the experimental study, 352 eligible responses were received, where more than 200 participants were expected to complete the survey to evaluate the model and determine what is important to the public end-user when using biometric systems in this context.