This guidebook provides operational and developmental test and evaluation personnel with recommendations for effectively developing, testing, evaluating, verifying, and validating lethal autonomous weapons systems (LAWS) that incorporate machine learning models. Focusing specifically on system trustworthiness and operator trust, this resource was developed by the Center for Calibrated Trust Measurement and Evaluation (CaTE). The guidebook supports key objectives including establishing a trust assurance case, evaluating operator trust, providing evidence of system trustworthiness, establishing methods to create systems that merit operator confidence, and promoting responsible artificial intelligence (RAI) principles throughout the development lifecycle.