Delegating Responsibilities to Intelligent Autonomous Systems: Challenges and Benefits

Responsibility is distributed, not individual: Rather than viewing AI systems as solely responsible for their actions, the paper argues that moral responsibility should be understood as a shared role distributed among humans, AI systems, and organizational structures within socio-technical systems.

"Ethical by design" is necessary for autonomous systems: The paper advocates for building ethical guidelines directly into AI systems during development, citing Basti and Vitiello's approach where AI learns ethical principles and uses formal logic to evaluate decisions—suggesting this is more reliable than post-deployment oversight alone.

Traditional accountability frameworks are inadequate: As AI systems operate with increasing autonomy and speed beyond human supervision capacity, the paper identifies a critical gap: existing moral responsibility concepts designed for individual human actors don't map cleanly onto complex AI systems, requiring new frameworks.

AI can function as artificial moral agents: The paper presents evidence that AI systems can be designed to act as ethical agents by learning and applying ethical guidelines, though this requires intentional architectural choices rather than emerging naturally from capability development.

Speed and scale create new ethical urgency: The paper emphasizes that AI systems can make decisions at speeds and volumes beyond human oversight capacity, making proactive ethical design more critical than reactive accountability measures after problems occur.