Moral Decision
Research on moral decision-making in artificial intelligence focuses on developing algorithms that enable AI systems to make ethically sound choices, mirroring or exceeding human capabilities. Current efforts explore reinforcement learning architectures augmented with "moral shields" based on normative reasons, and leverage large language models trained on diverse datasets to analyze and potentially mitigate biases in moral judgments. A key challenge lies in the lack of a universally accepted mathematical framework for moral reasoning, leading to investigations into the interpretability of AI's moral decision-making processes and the use of cognitive models to simulate human moral behavior for training purposes. This research is crucial for ensuring the responsible development and deployment of AI in high-stakes domains where ethical considerations are paramount.