解析人格计算二十年发展，揭示技术与伦理挑战
Twenty Years of Personality Computing: Threats, Challenges and Future Directions
- 结合心理学与计算机科学，用数字足迹分析人格
- 可实现人格识别与模拟，应用于招聘医疗等场景
- 关注隐私泄露与算法偏见，倡导负责任发展
人格计算是人格心理学与计算机科学的交叉领域，自2005年兴起以来，通过分析数字足迹（如文本、图像、社交媒体）等数据，利用计算方法理解与预测人类人格特质。该领域发展迅速，已推动人格识别与模拟系统的发展，广泛应用于人才招聘、市场营销和医疗健康等领域。然而，其伦理风险显著，涉及数据隐私、算法偏见及人格感知人工智能的潜在操控问题。本文综述该领域二十年进展，探讨关键技术方法，分析核心挑战与威胁，并提出负责任发展的未来方向。
原文摘要 · Abstract (English)
Personality Computing is a field at the intersection of Personality Psychology and Computer Science. Started in 2005, research in the field utilizes computational methods to understand and predict human personality traits. The expansion of the field has been very rapid and, by analyzing digital footprints (text, images, social media, etc.), it helped to develop systems that recognize and even replicate human personality. While offering promising applications in talent recruiting, marketing and healthcare, the ethical implications of Personality Computing are significant. Concerns include data privacy, algorithmic bias, and the potential for manipulation by personality-aware Artificial Intelligence. This paper provides an overview of the field, explores key methodologies, discusses the challenges and threats, and outlines potential future directions for responsible development and deployment of Personality Computing technologies.
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