A new neural network-based framework for adaptive cruise control in automated driving is introduced, prioritizing social compliance and traffic efficiency. The framework accounts for interactions with human-driven vehicles and broader traffic dynamics, promoting prosocial driving behaviors and improving system-wide efficiency.