让社会科学参与大模型研发，以识别和缓解社会风险。
Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models
- 将大模型视为社会技术系统，引入社会科学视角分析权力影响。
- 提出跨学科协作框架，预测部署后果并评估减害技术效果。
- 适合关注AI伦理、政策制定与负责任创新的研究者。
随着基础模型的兴起，其潜在社会影响引发广泛关注。社会科学长期研究颠覆性技术对既有权力体系的影响。本文基于早期技术的社会影响研究，提出一个概念框架，将基础模型视为社会技术系统，融合社会科学专业知识，深入理解这些模型如何影响权力结构，预判其在不同应用场景中的社会影响，并评估旨在减轻社会危害的技术干预措施的有效性。倡导在基础模型研发全周期中推动人工智能与社会科学的跨学科协作，促进负责任的研究实践与应用案例，并列出若干促进此类研究的具体策略。
原文摘要 · Abstract (English)
With the rise of foundation models, there is growing concern about their potential social impacts. Social science has a long history of studying the social impacts of transformative technologies in terms of pre-existing systems of power and how these systems are disrupted or reinforced by new technologies. In this position paper, we build on prior work studying the social impacts of earlier technologies to propose a conceptual framework studying foundation models as sociotechnical systems, incorporating social science expertise to better understand how these models affect systems of power, anticipate the impacts of deploying these models in various applications, and study the effectiveness of technical interventions intended to mitigate social harms. We advocate for an interdisciplinary and collaborative research paradigm between AI and social science across all stages of foundation model research and development to promote socially responsible research practices and use cases, and outline several strategies to facilitate such research.
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