Moral Agent

Creating artificial moral agents (AMAs) focuses on designing AI systems capable of making ethically sound decisions. Current research explores various approaches, including reinforcement learning architectures augmented with normative reason-based decision-making, and investigates the limitations imposed by computational intractability. Key challenges involve defining and implementing ethical frameworks, addressing moral heterogeneity within agent populations, and ensuring sufficient interpretability for trust and accountability. This field is crucial for the safe and responsible deployment of AI in high-stakes applications, impacting both the development of ethical AI guidelines and the broader understanding of moral reasoning itself.