As artificial intelligence (AI) systems become more prevalent, ensuring fairness in their design becomes increasingly important. This survey focuses on the subdomains of social media and healthcare, examining the concepts of fairness, accountability, transparency, and ethics (FATE) within the context of AI. We explore existing research on FATE in AI, highlighting the benefits and limitations of current solutions, and provide future research directions. We found that statistical and intersectional fairness can support fairness in healthcare on social media platforms, and transparency in AI is essential for accountability. While solutions like simulation, data analytics, and automated systems are widely used, their effectiveness can vary, and keeping up-to-date with the latest research is crucial.

翻译：随着人工智能（AI）系统日益普及，确保其设计中的公平性变得愈发重要。本综述聚焦社交媒体与医疗健康子领域，探讨人工智能背景下公平性、问责制、透明度与伦理（FATE）等概念。我们梳理了人工智能FATE方向的现有研究，阐述了当前解决方案的优势与局限，并提出了未来研究方向。研究发现：统计公平性与交叉公平性可支撑社交媒体平台上的医疗健康公平性，而人工智能的透明度对问责制至关重要。尽管模拟、数据分析和自动化系统等解决方案被广泛应用，但其有效性存在差异，跟踪最新研究进展至关重要。