语言模型时代的人工智能问责制生态系统
The AI Accountability Ecosystem in the Era of Language Models
- University of Warwick（华威大学）
- City St George’s, University of London（伦敦大学城市圣乔治学院）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文针对大型语言模型带来的新风险，更新了人工智能问责制生态系统框架，提出三项关联更新，推动问责制向分布式、持续化、制度化转变。
AI中文摘要：
本文回顾并更新了基于问责制生态系统的人工智能问责制框架，结合面向公众使用的大型语言模型发布以来的最新进展对该框架进行了更新。我们对原始人工智能问责制生态系统提出三项相互关联的更新：（i）将问责制生态系统重新定位至人工智能基础设施与供应链；（ii）更加强调结果监测，识别支持分散式系统改进的问题；（iii）鉴于野外语言模型不可预测性带来的新风险，纳入终端用户问责制。总体而言，这些更新标志着问责制向分布式、持续化、制度化转变，不再将前沿人工智能应用建模为由单一可识别行为体控制、受特定行业监督的离散产品。
英文摘要：
This article reviews and updates the framework for accountability in AI based on account- ability ecosystems. We update the framework in light of the latest developments since the release of Large Language Models for general public use. We propose three interlinked updates to the original AI accountability ecosystem: (i) reorienting the accountability ecosystem to AI infrastructure and supply chains, (ii) providing greater emphasis on outcomes monitoring and identification of issues that support decentralized system improvement, and (iii) incorporating end-user accountability given the new risks of unpredictability of language models in-the-wild. Collectively, these updates mark a shift towards accountability as distributed, continuous, and institutionalized, away from a system in which frontier AI applications can be modeled as discrete products controlled by single identifiable actors with industry-specific oversight.
