构建AI影响场景框架，助力决策者预判未来挑战与机遇
Exploring the Societal and Economic Impacts of Artificial Intelligence: A Scenario Generation Methodology
- 用影响-不确定性矩阵分类关键因素，系统梳理AI发展路径
- 识别出医疗、制造等关键领域将受显著影响，提出多情境未来推演
- 适合政策制定者、企业战略部门及科技研究者参考应用
本文通过生成情景分析人工智能潜在的社会与经济影响，评估其在不同行业中的作用。采用影响-不确定性矩阵对影响人工智能融合与采纳的关键因素进行分类与分析。提出的方法包括查询学术数据库、识别新兴趋势与主题，并将其归入影响-不确定性框架中。研究识别出人工智能可能带来重大变革的若干关键领域，并基于这些洞察勾勒出未来可能的情景。该研究旨在为政策制定者、产业领袖及研究人员提供战略规划依据，以应对人工智能带来的挑战与机遇。
原文摘要 · Abstract (English)
This paper explores artificial intelligence's potential societal and economic impacts (AI) through generating scenarios that assess how AI may influence various sectors. We categorize and analyze key factors affecting AI's integration and adoption by applying an Impact-Uncertainty Matrix. A proposed methodology involves querying academic databases, identifying emerging trends and topics, and categorizing these into an impact uncertainty framework. The paper identifies critical areas where AI may bring significant change and outlines potential future scenarios based on these insights. This research aims to inform policymakers, industry leaders, and researchers on the strategic planning required to address the challenges and opportunities AI presents
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。