对比三大云厂商的面部识别隐私策略，为责任化应用提供实践参考。
Privacy in Responsible AI: Approaches to Facial Recognition from Cloud Providers
- 从隐私视角分析微软、亚马逊、谷歌的面部识别服务设计。
- 发现三者在数据处理与用户控制上存在显著差异。
- 适合关注AI伦理与合规的开发者及企业决策者阅读。
随着面部识别技术在各领域的广泛应用，其负责任使用的重要性日益凸显。本文从隐私这一关键责任AI原则出发，对现有研究进行了全面文献综述。微软、亚马逊、谷歌等云服务商处于面部相关技术服务的前沿，但其在技术负责任使用方面的做法存在显著差异。通过分析这些云巨头在面部识别与检测服务中如何落实隐私原则，本研究揭示了共性实践与突出差异。研究成果有助于开发者和企业理解三大主流公司在集成责任AI（尤其是隐私保护）方面的最佳实践，为构建可信赖的云基面部识别系统提供指导。
原文摘要 · Abstract (English)
As the use of facial recognition technology is expanding in different domains, ensuring its responsible use is gaining more importance. This paper conducts a comprehensive literature review of existing studies on facial recognition technology from the perspective of privacy, which is one of the key Responsible AI principles. Cloud providers, such as Microsoft, AWS, and Google, are at the forefront of delivering facial-related technology services, but their approaches to responsible use of these technologies vary significantly. This paper compares how these cloud giants implement the privacy principle into their facial recognition and detection services. By analysing their approaches, it identifies both common practices and notable differences. The results of this research will be valuable for developers and businesses by providing them insights into best practices of three major companies for integration responsible AI, particularly privacy, into their cloud-based facial recognition technologies.
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