What Does it Mean to Be Beautiful? Exploring the Limits of AI-Driven Beauty Assessment.

Abstract

This paper examines the multifaceted nature of beauty, encompassing evolutionary, biological, neurological, cultural, and individual factors. It explores the limitations of objective assessments, such as artificial intelligence (AI) algorithms like the Facial Aesthetic Index and Facial Youthfulness Index, which often fail to capture the diversity of individual preferences and cultural standards. While AI tools can provide valuable insights into facial features, their use in aesthetic medicine should be approached with caution, recognizing the importance of subjective perceptions. We emphasize the need for a collaborative approach that integrates AI insights with clinical expertise and patient involvement to achieve personalized and satisfying outcomes in aesthetic medicine. Ultimately, beauty is a complex and subjective experience that cannot be fully defined or assessed objectively, and successful aesthetic interventions require a holistic approach that values both objective data and individual perspectives.