A healthcare startup is building machine learning models to assist doctors in diagnosing medical conditions. The development team is debating whether to use a complex, high-performance model or a transparent and explainable model that offers clear insights into how predictions are made. Since transparency is important in healthcare, the team needs to weigh the benefits of using an explainable model, particularly in terms of trust, compliance, and accountability. Which benefits might persuade a developer to choose a transparent and explainable machine learning model? (Select two)