烟幕与替罪羊：通用数据保护条例合规的现实——以Replika AI为例的隐私与伦理
Smoke Screens and Scapegoats: The Reality of General Data Protection Regulation Compliance -- Privacy and Ethics in the Case of Replika AI
AI总结：
本文以Replika AI为案例，批判性审查AI伴侣服务的隐私政策与GDPR合规现实，通过细读法和媒体分析揭示数据收集可能未经用户完全知晓，且隐私通知与外部信息不一致。
摘要：
当前，基于人工智能（AI）的聊天机器人正俘获广大公众的心与想象。用户可自行构建和个性化的聊天机器人，以及预设计、可供用户选择的虚拟形象，所有这些都在应用程序中提供，以提供社交陪伴、友谊乃至爱情。然而，这些系统在隐私和伦理方面已展现出挑战。本文以批判性视角审视AI伴侣服务中这些问题的复杂性。我们选择Replika作为案例，采用细读法审查该服务的隐私政策。此外，我们分析公共媒体关于该公司及其实践的报道，以洞察政策中所提供信息的可信度与完整性。目的在于确认表面上的通用数据保护条例（GDPR）合规是否等同于所需信息的可靠性，抑或GDPR合规领域本身是否充满伦理挑战。本文为社交聊天机器人领域中关于伦理与隐私问题的日益增长的学术研究做出贡献。结果显示，尽管存在隐私通知，数据收集实践可能未经用户完全知晓而获取个人数据。跨文本比较揭示，隐私通知信息与其他信息来源并不完全对应。
英文摘要：
Currently artificial intelligence (AI)-enabled chatbots are capturing the hearts and imaginations of the public at large. Chatbots that users can build and personalize, as well as pre-designed avatars ready for users' selection, all of these are on offer in applications to provide social companionship, friends and even love. These systems, however, have demonstrated challenges on the privacy and ethics front. This paper takes a critical approach towards examining the intricacies of these issues within AI companion services. We chose Replika as a case and employed close reading to examine the service's privacy policy. We additionally analyze articles from public media about the company and its practices to gain insight into the trustworthiness and integrity of the information provided in the policy. The aim is to ascertain whether seeming General Data Protection Regulation (GDPR) compliance equals reliability of required information, or whether the area of GDPR compliance in itself is one riddled with ethical challenges. The paper contributes to a growing body of scholarship on ethics and privacy related matters in the sphere of social chatbots. The results reveal that despite privacy notices, data collection practices might harvest personal data without users' full awareness. Cross-textual comparison reveals that privacy notice information does not fully correspond with other information sources.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
