提出TOAST框架，帮组织落地可信赖、可持续的AI系统
TOAST Framework: A Multidimensional Approach to Ethical and Sustainable AI Integration in Organizations
- 从多维度构建AI实施框架，融合技术与伦理
- 在医疗案例中验证其降低偏见和隐私风险的能力
- 适合关注AI伦理与合规的组织管理者参考
人工智能正重塑医疗、金融、教育等多个领域，但其成功落地仍面临复杂挑战，亟需科学方法论支持。本文提出可信、优化、可适应、社会-技术协同（TOAST）框架，综合多学科洞见，将技术战略与伦理价值、社会责任及创新愿景对齐。该框架聚焦可靠性、问责性、技术进步、适应性与社会-技术和谐，通过医疗领域案例研究，实证评估其在高风险环境中的实践可行性和理论严谨性。结果表明，灵活可调的AI系统能提升机构效率，缓解偏见与数据隐私等风险，并为其他需伦理对齐与高效集成的行业提供可复用范式。
原文摘要 · Abstract (English)
Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize various sectors, from healthcare to finance, education, and beyond. However, successfully implementing AI systems remains a complex challenge, requiring a comprehensive and methodologically sound framework. This paper contributes to this challenge by introducing the Trustworthy, Optimized, Adaptable, and Socio-Technologically harmonious (TOAST) framework. It draws on insights from various disciplines to align technical strategy with ethical values, societal responsibilities, and innovation aspirations. The TOAST framework is a novel approach designed to guide the implementation of AI systems, focusing on reliability, accountability, technical advancement, adaptability, and socio-technical harmony. By grounding the TOAST framework in healthcare case studies, this paper provides a robust evaluation of its practicality and theoretical soundness in addressing operational, ethical, and regulatory challenges in high-stakes environments, demonstrating how adaptable AI systems can enhance institutional efficiency, mitigate risks like bias and data privacy, and offer a replicable model for other sectors requiring ethically aligned and efficient AI integration.
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