Abstract Book of the 7th International Conference on Advanced Research in Management, Economics and Accounting
Year: 2025
[PDF]
AI In the Computation and Regulation of Social Decision-Making
Prof. Dr. Haiyan Wu
ABSTRACT:
In the artificial intelligence (AI) era, the innovative perspectives and methodologies brought by AI enable researchers to address challenges in social decision-making in unprecedented ways. Leveraging AI’s powerful data processing capabilities, researchers can transcend the limitations of traditional experimental paradigms and design tasks that resemble real-world scenarios, exploring social decisions in more realistic contexts. By utilizing diverse AI models, researchers can explore various aspects of social decision-making more efficiently. Moreover, as AI becomes increasingly embedded in people’s daily lives, it is imperative to incorporate AI as an interactive agent, systematically examining its impact on humans and the human-AI interactions. To prepare for a society where humans and AI coexist, we advocate for establishing an online social task platform where human participants and AI agents coexist. This hybrid platform emphasizes the participation of both humans and AI agents and a richer task design ranging from traditional tasks to naturalistic ones, providing an effective framework for exploring social cognition in the AI era. Our review aims to advance the scientific understanding of human social cognition while promoting the development of AI systems that integrate AI tools and agents into social decision-making and social neuroscience studies.
Keywords: AI and social science, AI-human coexist