Paper Type

Short

Paper Number

1404

Description

This study investigates the predictive power of facial Big Five personality traits, inferred by AI, on the earnings forecast accuracy of financial analysts. Contributing to the broader discourse on the relationship between facial personality traits and social outcomes, we examine this link through the lenses of self-fulfilling prophecy effects and genetic/hormonal influences. Utilizing deep neural network analysis of ID photos, we successfully extract personality traits that show significant correlations with job performance: extraversion and conscientiousness positively influence performance, whereas neuroticism has a negative impact. These findings underscore the potential of AI-inferred traits to effectively predict job performance. Moving forward, we plan to refine our deep learning model using alternative related databases, validate the reliability of AI-inferred facial personality traits, and further explore the underlying mechanisms. This research deepens our understanding of how facial personality traits correlate with professional success, offering valuable insights for both scholars and practitioners.

Comments

AI

Download

Share

COinS
 
Jul 2nd, 12:00 AM

The Value of AI-Inferred Facial Personality Traits: Evidence from Chinese Financial Analysts

This study investigates the predictive power of facial Big Five personality traits, inferred by AI, on the earnings forecast accuracy of financial analysts. Contributing to the broader discourse on the relationship between facial personality traits and social outcomes, we examine this link through the lenses of self-fulfilling prophecy effects and genetic/hormonal influences. Utilizing deep neural network analysis of ID photos, we successfully extract personality traits that show significant correlations with job performance: extraversion and conscientiousness positively influence performance, whereas neuroticism has a negative impact. These findings underscore the potential of AI-inferred traits to effectively predict job performance. Moving forward, we plan to refine our deep learning model using alternative related databases, validate the reliability of AI-inferred facial personality traits, and further explore the underlying mechanisms. This research deepens our understanding of how facial personality traits correlate with professional success, offering valuable insights for both scholars and practitioners.

When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.