ANTHROPOMORPHIC ARTIFICIAL INTELLIGENCE IN AVIATION: FROM HUMAN-LIKE ATTRIBUTIONS TO HUMAN–AI TEAMING

Çeken S.

Uluslararası Havacılık Çalışmaları Kongresi (ICAS 2026), Balıkesir, Türkiye, 17 - 19 Eylül 2026, ss.83, (Özet Bildiri)

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: Balıkesir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.83
  • İstanbul Üniversitesi Adresli: Evet

Özet

Anthropomorphism refers to the attribution of human-like cognitive, social, emotional, or moral

characteristics to non-human entities. As artificial intelligence (AI) in aviation evolves from decision support systems toward autonomous agents and human–AI  eaming, AI systems may increasingly be perceived not merely as technological tools but as actors to which competence, intentionality, personality, social roles, and responsibility are attributed, making anthropomorphism an important human factors issue. However, evidence on anthropomorphic AI in aviation remains dispersed across operational contexts and conceptualizations, with limited systematic synthesis of this emerging literature. This systematic review aims to identify how anthropomorphic AI is conceptualized and operationalized in aviation, the contexts and user groups investigated, the principal dimensions of anthropomorphism, theoretical approaches, associated outcomes, and remaining research gaps. A systematic search of Scopus and Web of Science Core Collection was conducted with reference to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 reporting guideline. Of 89 records identified, 27 duplicates were removed. The remaining 62 records were assessed through title–abstract and full-text eligibility screening using predefined criteria, resulting in seven studies included in the thematic synthesis. The findings reveal four overarching dimensions of anthropomorphism: communicative/representational, cognitive/agentic, social/relational, and emotional/moral. Human-like characteristics may facilitate trust, perceived value, and human–AI collaboration, however, excessive attributions of competence, agency, and moral capacity may alter responsibility perceptions and generate perceived professional threat. The review conceptualizes anthropomorphism as a dual-edged human factors mechanism that may both facilitate human–AI teaming and introduce associated risks. Accordingly, the findings suggest that human-centred design should focus not on maximizing human-like AI characteristics, but on appropriately calibrating them in relation to trust, agency, responsibility, and professional roles in aviation.