As an ML engineer at a regulated insurance company, you're tasked with developing a model to approve or reject insurance applications. The model must comply with strict regulatory requirements, ensure fairness, and maintain high accuracy. Given these constraints, which of the following sets of factors should you prioritize to meet both regulatory and ethical standards? (Choose two options)