Aldo Chavez Gonzalez
Papers
1
Total Citations
2
H-Index
1
About
Aldo Chavez Gonzalez investigates the ethical and psychological dimensions of human-robot interaction, focusing on how moral frameworks can shape our behavior toward artificial agents. His research addresses a critical tension: as robots become integrated into our daily lives, people often exhibit ingroup favoritism, treating robot teammates more favorably than human opponents. In his most cited work, “Can Moral Rightness (Utilitarian Approach) Outweigh the Ingroup Favoritism Bias in Human-Agent Interaction” (2022, 2 citations), Chavez Gonzalez explores whether utilitarian moral reasoning can override this bias, proposing strategies to foster fairer treatment across human and machine boundaries. This contribution sits at the intersection of moral psychology, human-computer interaction, and AI ethics, offering practical insights for designing equitable autonomous systems. While his citation count is still growing, his work is notable for tackling a timely and underexplored question: how to align human moral instincts with the rise of collaborative robots. Chavez Gonzalez’s research is especially relevant for students and researchers interested in the social implications of AI, as it challenges us to reconsider fairness and attachment in an increasingly automated world.
Research Focus
Key Achievements
Top Papers
- 1