Haibo Yang
Papers
1
Total Citations
9
H-Index
1
About
Dr. Haibo Yang is a pioneering researcher at the intersection of artificial intelligence, public health, and behavioral science, with a particular focus on how emerging technologies shape human decision-making and addiction. Their most cited work, "The role of artificial intelligence in general, and large language models specifically, for understanding addictive behaviors" (2025), has already garnered 9 citations, signaling its rapid influence in this nascent field. Dr. Yang’s major contribution lies in systematically analyzing how AI—from smartphone language assistants to recommender systems in e-commerce and social media—can both exacerbate and help mitigate addictive behaviors. By bridging the gap between cutting-edge AI capabilities and clinical psychology, Dr. Yang provides a framework for understanding how large language models (LLMs) might be leveraged to detect early signs of addiction, personalize interventions, and even reshape digital environments to promote healthier habits. This work is particularly timely as AI becomes embedded in everyday life, raising urgent questions about its role in behavioral health. Dr. Yang’s research not only advances theoretical understanding but also offers practical pathways for designing more responsible AI systems, making them a vital voice in the ongoing dialogue about technology’s impact on human well-being.
Research Focus
Key Achievements
Top Papers
- 1