Papers
1
Total Citations
113
H-Index
1
About
Xiao Gu is an emerging researcher at the forefront of human-robot interaction and artificial intelligence ethics, with a particular focus on the societal and business implications of generative AI technologies. Their most notable contribution, the 2024 paper "Generative AI and human–robot interaction: implications and future agenda for business, society and ethics," has already garnered an impressive 113 citations within a short period of publication — a remarkable achievement that signals the work's timeliness and relevance to rapidly evolving conversations in AI research. This paper positions Gu as a thought leader in examining how generative AI reshapes the dynamics between humans and robotic systems, while critically engaging with the ethical frameworks needed to govern these interactions responsibly. By bridging disciplines including business studies, social science, and technology ethics, Gu's scholarship addresses questions that are increasingly urgent as AI systems become embedded in everyday life and organizational contexts. Their ability to generate significant academic impact so quickly suggests a researcher whose work resonates strongly with both scholars and practitioners navigating the complex landscape of AI-driven transformation.
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Top Papers
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