相关实验视频
人工智能影响隐私的两端:对侵犯和保护的审查
Nadav Voloch1, Ron S Hirschprung1
1Department of Industrial Engineering and Management, Ariel University, Ariel, Israel.
Frontiers in artificial intelligence
|March 6, 2026
概括
人工智能 (AI) 对隐私构成风险,但也提供诸如联合学习之类的解决方案. 这篇评论分析了人工智能和隐私研究,强调了挑战和合作的必要性.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 系统越来越多地融入日常生活,引发了严重的隐私问题.
- 越来越多的人工智能使用需要有效的隐私保护机制.
研究的目的:
- 系统地审查和分析人工智能和隐私交集的研究.
- 在AI中使用多维方法对隐私进行分类.
- 使用新的图形数据库技术可视化复杂的AI-隐私关系.
主要方法:
- 对94篇关于人工智能和隐私的研究论文进行了系统分析.
- 在AI中对隐私进行多维分类 (隐私行动,策略,交互方向).
- 利用图形数据库 (Neo4J) 可视化和查询文献中的关系.
主要成果:
- 人工智能具有双重作用:对隐私的威胁 (推断风险,数据利用) 和增强隐私的工具 (联合学习,差异隐私).
- 确定了关键的技术领域,隐私行动和AI-隐私交互方向.
- 图形数据库提供了一个动态和可查询的AI隐私研究格局的表示.
结论:
- 人工智能对隐私的影响是复杂的,提供风险和解决方案.
- 人工智能和隐私存在重大监管,伦理和技术挑战.
- 跨学科合作对于有效应对人工智能隐私挑战至关重要.
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