Optimizing AI-Driven Decision Support Systems: Balancing Efficiency, Accuracy, and Ethical Considerations
Authors:-Yoga Srinivas B, Dr S R Raja
Abstract-Optimizing AI-driven decision support systems necessitates a careful balance between efficiency, accuracy, and ethical considerations. Efficiency involves ensuring that the system processes data swiftly and provides timely insights. Accuracy emphasizes the need for reliable and precise outputs to inform decision-making. Ethical considerations are paramount, addressing potential biases in data and algorithms to ensure fair and just outcomes. Transparency in the decision-making process fosters trust and accountability. By integrating these factors, AI-driven decision support systems can enhance decision-making processes while upholding ethical standards and maintaining user trust.