If our aim is to build morality into an artificial agent, how might we begin to go about doing so?
This addresses the challenge of ensuring ethical behavior in AI systems, but it is incremental as it builds on existing discussions without introducing a new paradigm.
The paper tackles the problem of integrating morality into artificial agents for decision-making in fields like healthcare and autonomous driving, proposing a hybrid design approach and hierarchical combination of moral paradigms as solutions.
As Artificial Intelligence (AI) becomes pervasive in most fields, from healthcare to autonomous driving, it is essential that we find successful ways of building morality into our machines, especially for decision-making. However, the question of what it means to be moral is still debated, particularly in the context of AI. In this paper, we highlight the different aspects that should be considered when building moral agents, including the most relevant moral paradigms and challenges. We also discuss the top-down and bottom-up approaches to design and the role of emotion and sentience in morality. We then propose solutions including a hybrid approach to design and a hierarchical approach to combining moral paradigms. We emphasize how governance and policy are becoming ever more critical in AI Ethics and in ensuring that the tasks we set for moral agents are attainable, that ethical behavior is achieved, and that we obtain good AI.