分析教育者、家长与从业者对AI隐私的关切,提出可落地的伦理设计建议。
Toward Ethical AI: A Qualitative Analysis of Stakeholder Perspectives
- 通过227人调研,提炼出数据泄露、滥用和过度采集等核心风险
- 识别出个性化服务、效率提升和教育进步等关键收益点
- 强调透明化、隐私优先设计和用户自主权,适合政策制定与产品设计参考
随着人工智能系统日益融入日常生活,隐私与伦理问责问题愈发突出。本研究通过分析227名参与者(包括教育者、家长及AI专业人士)的问卷反馈,探讨了公众对AI系统中隐私问题的看法。研究识别出主要风险包括数据泄露、伦理滥用和过度数据收集,并指出个性化服务、效率提升及教育进步等潜在益处。受访者普遍强调透明度、隐私优先设计、用户赋权与伦理监管的重要性。研究提出应实施选择性数据使用、增强透明度、促进用户自主性,并将伦理原则嵌入开发流程。这些发现为平衡AI效益与隐私保护提供了可操作建议,有助于构建契合社会价值、赢得用户信任的隐私导向型AI系统。
原文摘要 · Abstract (English)
As Artificial Intelligence (AI) systems become increasingly integrated into various aspects of daily life, concerns about privacy and ethical accountability are gaining prominence. This study explores stakeholder perspectives on privacy in AI systems, focusing on educators, parents, and AI professionals. Using qualitative analysis of survey responses from 227 participants, the research identifies key privacy risks, including data breaches, ethical misuse, and excessive data collection, alongside perceived benefits such as personalized services, enhanced efficiency, and educational advancements. Stakeholders emphasized the need for transparency, privacy-by-design, user empowerment, and ethical oversight to address privacy concerns effectively. The findings provide actionable insights into balancing the benefits of AI with robust privacy protections, catering to the diverse needs of stakeholders. Recommendations include implementing selective data use, fostering transparency, promoting user autonomy, and integrating ethical principles into AI development. This study contributes to the ongoing discourse on ethical AI, offering guidance for designing privacy-centric systems that align with societal values and build trust among users. By addressing privacy challenges, this research underscores the importance of developing AI technologies that are not only innovative but also ethically sound and responsive to the concerns of all stakeholders.
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