Balancing efficiency with ethical concerns in the realm of AI in government demands a thoughtful approach to policy and implementation. Efficiency, often pursued through automation and data-driven decision-making, must be tempered with ethical considerations such as privacy, fairness, and accountability.

Firstly, robust regulatory frameworks are essential. Governments must enact laws that govern AI deployment, ensuring transparency in algorithms, protecting citizen data, and establishing accountability mechanisms for automated decisions.

Secondly, fostering interdisciplinary collaboration is crucial. Ethicists, technologists, policymakers, and the public must engage in dialogue to anticipate and address potential ethical dilemmas early in the development of AI systems.

Moreover, promoting education and awareness among government officials and the public is imperative. Understanding AI capabilities and limitations helps in making informed decisions about its deployment and regulation.

Furthermore, continuous monitoring and evaluation of AI systems are essential to detect biases, errors, or unintended consequences. Regular audits and reviews can mitigate ethical risks and ensure that AI remains aligned with societal values.

Ultimately, achieving a balance between efficiency and ethics requires a proactive approach from governments, involving comprehensive laws, interdisciplinary collaboration, education, and ongoing scrutiny. By doing so, governments can harness the benefits of AI while safeguarding against its potential pitfalls in the digital age.