preprints_ui: uf9g4_v1
Data license: ODbL (database) & original licenses (content) · Data source: Open Science Framework
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| uf9g4_v1 | AI in the computation and regulation of social decision-making | In the era of artificial intelligence (AI), social decision-making research stands at a transformative crossroads. The rise of AI has introduced innovative perspectives and methodologies, enabling 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 more closely resemble real-world scenarios, exploring social decisions in more realistic contexts. By utilizing diverse AI models, researchers can analyze complex social interaction data, model social agents, or simulate social dynamics. 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 interactions between humans and these more advanced AI systems. 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 multiple agents, the generalization from traditional tasks to naturalistic tasks, and integrative platforms with the interface of neuroimage data, providing an effective framework for exploring social cognition in the AI era. These advancements help pave the way for developing socially intelligent AI systems equipped with intuition and ethics, enabling seamless and natural interactions within complex social ecosystems. 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. | 2025-05-10T11:31:05.189749 | 2025-05-10T11:33:01.322713 | 2025-05-10T11:32:38.586536 | psyarxiv | 1 | pending | 1 | 1 | https://doi.org/10.31234/osf.io/uf9g4_v1 | CC-By Attribution 4.0 International | [] | Shuo Zhang; Leo Chi U Seak; Raymond J Dolan; Haiyan Wu | [{"id": "ztnak", "name": "Shuo Zhang", "index": 0, "orcid": null, "bibliographic": true}, {"id": "vtgq9", "name": "Leo Chi U Seak", "index": 1, "orcid": null, "bibliographic": true}, {"id": "wa85s", "name": "Raymond J Dolan", "index": 2, "orcid": null, "bibliographic": true}, {"id": "u5x32", "name": "Haiyan Wu", "index": 3, "orcid": "0000-0001-8869-6636", "bibliographic": true}] | Shuo Zhang | Neuroscience; Social and Behavioral Sciences | [{"id": "5b4e7425c6983001430b6c1b", "text": "Neuroscience"}, {"id": "5b4e7425c6983001430b6c1e", "text": "Social and Behavioral Sciences"}] | https://osf.io/download/681f3909f3e3df005ace9ec2 | 0 | not_applicable | not_applicable | [] | 2025-05-11T00:11:37.462614 |