Introduction: Driving HCAI Forward

B. Shneiderman
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Abstract

The central ideas of this book are the HCAI framework, design metaphors, and governance structures. These ideas clarify how human-centered thinking will help bring the powerful AI algorithms into widespread use by way of reliable, safe, and trustworthy systems. AI’s expansion from a focus on algorithms to include user experience design methods is happening in practitioner and research communities, which now regularly discuss ethics, responsible AI, fairness, explainability, and other topics. New research directions include boosting citizen science, stopping misinformation, and finding new treatments and vaccines for major diseases. The growth of research groups, conferences, journals, and research funding is an indication of interest in HCAI.
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引言:推动HCAI向前发展
本书的中心思想是HCAI框架、设计隐喻和治理结构。这些想法阐明了以人为本的思维将如何通过可靠、安全和值得信赖的系统,帮助强大的人工智能算法得到广泛应用。人工智能从专注于算法扩展到包括用户体验设计方法,这正在实践者和研究社区中发生,他们现在经常讨论道德、负责任的人工智能、公平性、可解释性和其他主题。新的研究方向包括促进公民科学,阻止错误信息,以及为重大疾病寻找新的治疗方法和疫苗。研究小组、会议、期刊和研究经费的增长表明了人们对HCAI的兴趣。
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How Do Rationalism and Empiricism Provide Sound Foundations? Introduction: Driving HCAI Forward Summary and Skeptic’s Corner Defining Reliable, Safe, and Trustworthy Systems Teammates and Tele-bots
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