Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866908298015408128 |
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| author | Davies, Adam Nguyen, Elisa Simeone, Michael Johnston, Erik Gubri, Martin |
| author_facet | Davies, Adam Nguyen, Elisa Simeone, Michael Johnston, Erik Gubri, Martin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_16355 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models Davies, Adam Nguyen, Elisa Simeone, Michael Johnston, Erik Gubri, Martin Artificial Intelligence 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. |
| title | Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2412.16355 |