论文标题
人造Tikkun Olam：AI可以成为我们建立开放的人类机构社会的最好朋友
Artificial Tikkun Olam: AI Can Be Our Best Friend in Building an Open Human-Computer Society
论文作者
论文摘要
几乎每种类型的技术进步对社会都带来了风险，包括公平和偏见。我们回顾了一种长期以来的智慧，即任何技术的广泛实用部署可能会损害知识。这包括AI，但AI系统对社会风险并不完全负责。我们描述了保健行业和其他部门中的一些常见和AI特定风险，并提出了广泛和特定的解决方案。每种技术都需要非常专业和知情的跟踪，监视和创意解决方案。我们假设AI系统是独特的准备，可以为自动决策系统中的公平和偏见提供概念和方法论解决方案。我们提出了一个简单的智能系统商，它可能与它们的不利社会影响相对应，并概述了多层架构，用于产生对这些风险增加复杂性的解决方案。我们还建议大学可以考虑对未来技术中心进行跨学科研究，以调查和预测技术带来的更全面的风险，并使用计算，技术，概念和道德分析寻求常见和AI特定的解决方案
Technological advances of virtually every kind pose risks to society including fairness and bias. We review a long-standing wisdom that a widespread practical deployment of any technology may produce adverse side effects misusing the knowhow. This includes AI but AI systems are not solely responsible for societal risks. We describe some of the common and AI specific risks in health industries and other sectors and propose both broad and specific solutions. Each technology requires very specialized and informed tracking, monitoring and creative solutions. We postulate that AI systems are uniquely poised to produce conceptual and methodological solutions to both fairness and bias in automated decision-making systems. We propose a simple intelligent system quotient that may correspond to their adverse societal impact and outline a multi-tier architecture for producing solutions of increasing complexity to these risks. We also propose that universities may consider forming interdisciplinary Study of Future Technology Centers to investigate and predict the fuller range of risks posed by technology and seek both common and AI specific solutions using computational, technical, conceptual and ethical analysis
