Twenty Years of Personality Computing: Threats, Challenges and Future Directions

2025-03-03

AI Summary

This paper systematically reviews two decades of research in personality computing, identifying three core ethical challenges arising from personality modeling and prediction based on digital footprints (e.g., text, images, social behavior): (1) data privacy violations, (2) algorithmic bias amplification, and (3) potential manipulative use of personality-aware AI systems. Methodologically, it introduces the first end-to-end ethical threat taxonomy—integrating personality psychology scales, multimodal machine learning, explainable AI (XAI), and ethical impact assessment frameworks—to support responsible innovation. The study proposes a governance framework and an interdisciplinary collaboration roadmap, distilling four fundamental challenges and six actionable pathways for sustainable development. These contributions provide theoretical foundations and practical guidance for establishing technical standards, refining industry norms, and informing evidence-based policy regulation in personality computing.

Technology Category

• Natural Language Processing: Ethics — Bias, Fairness, Transparency & Privacy
• Philosophy and Ethics of AI: Privacy & Security
• Machine Learning: Ethics, Bias, and Fairness

Application Category

• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization
• Economics, Online Markets and Human Computation: Fairness and ethical considerations in crowd work and in human-in-the-loop AI systems
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web

Abstract

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.

Problem

• Explores ethical implications of Personality Computing technologies.
• Addresses challenges like data privacy and algorithmic bias.
• Proposes future directions for responsible development and deployment.

Innovation

• Computational methods predict human personality traits
• Analyzes digital footprints for personality recognition
• Addresses ethical concerns in Personality Computing