Developing Intelligent AI Systems for Ethical Decision Making in Autonomous Environments
Keywords:
Artificial Intelligence, Ethical Decision Making, Autonomous Systems, Machine Ethics, Reinforcement Learning, Explainable AI, Normative Frameworks, Human-AI AlignmentAbstract
As autonomous systems become increasingly integrated into everyday domains such as transportation, healthcare, and defense, the need for intelligent AI systems capable of ethical decision-making has grown more urgent. This paper investigates the current landscape and future directions for AI systems that are not only technically proficient but also ethically aligned with human values. We evaluate developments in machine ethics, reinforcement learning with ethical constraints, and explainable AI, drawing on recent progress in both symbolic and data-driven approaches. We argue for a hybrid model that integrates normative theories with contextual learning to enable context-sensitive ethical reasoning. This paper contributes a framework for assessing ethical outcomes and presents original diagrams and tables to support our analysis. Challenges related to transparency, accountability, and socio-technical bias are critically reviewed, and future pathways are proposed for research and deployment.
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