让普通民众参与AI风险治理,提升政策包容性。
Envisioning Stakeholder-Action Pairs to Mitigate Negative Impacts of AI: A Participatory Approach to Inform Policy Making
- 通过调研普通人对AI责任归属的看法,构建行动者-行动配对图谱。
- 识别出公众认为最重要且需优先实施的5类风险缓解策略。
- 以政策简报形式呈现结果,助力民主化AI治理决策。
AI潜在负面影响日益广泛,亟需负责任的治理。现有方法多由专家主导,缺乏普通民众参与。本文提出一种参与式、前瞻性的方法,将非专业利益相关者的需求置于核心,推动风险缓解策略的完善。该方法(1)绘制了不同利益相关方承担的责任与对应缓解措施;(2)调查普通民众对这些措施重要性的看法;(3)将结果整理为可读性强的政策简报,用于支持政策制定。本研究不取代政策制定者,而是提供一种增强策略透明度与公众参与度的方法,使人工智能治理更符合民主期待。
原文摘要 · Abstract (English)
The potential for negative impacts of AI has rapidly become more pervasive around the world, and this has intensified a need for responsible AI governance. While many regulatory bodies endorse risk-based approaches and a multitude of risk mitigation practices are proposed by companies and academic scholars, these approaches are commonly expert-centered and thus lack the inclusion of a significant group of stakeholders. Ensuring that AI policies align with democratic expectations requires methods that prioritize the voices and needs of those impacted. In this work we develop a participative and forward-looking approach to inform policy-makers and academics that grounds the needs of lay stakeholders at the forefront and enriches the development of risk mitigation strategies. Our approach (1) maps potential mitigation and prevention strategies of negative AI impacts that assign responsibility to various stakeholders, (2) explores the importance and prioritization thereof in the eyes of laypeople, and (3) presents these insights in policy fact sheets, i.e., a digestible format for informing policy processes. We emphasize that this approach is not targeted towards replacing policy-makers; rather our aim is to present an informative method that enriches mitigation strategies and enables a more participatory approach to policy development.
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