As Artificial Intelligence (AI) continues to advance rapidly, it becomes increasingly important to consider AI's ethical and societal implications. In this paper, we present a bottom-up mapping of the current state of research in Human-Centered Responsible AI (HCR-AI) by thematically reviewing and analyzing 27 CHI research papers and 19 toolkits from industry and academia. Our results show that the current research in HCR-AI places a heavy emphasis on explainability, fairness, privacy, and security. We also found that there is space to research accountability in AI and build usable tools for non-experts to audit AI. While the CHI community has started to champion the well-being of individuals directly or indirectly impacted by AI, more research and toolkits are still required to address the long-term effects of AI on individuals, societies, and natural resources (human flourishing and sustainability).

翻译：随着人工智能（AI）的持续快速发展，考量其伦理与社会影响变得日益重要。本文通过对27篇人机交互（CHI）研究论文及19个来自产业界与学术界的工具包进行主题综述与分析，以自下而上的方式绘制了以人为中心的负责任人工智能（HCR-AI）领域的研究现状。我们的研究结果表明，当前HCR-AI研究重点聚焦于可解释性、公平性、隐私性与安全性。我们还发现，在AI问责性研究以及为非专家用户构建可审计AI的实用工具方面仍存在探索空间。尽管人机交互（CHI）社区已开始倡导关注直接或间接受AI影响的个体的福祉，但要应对AI对个体、社会及自然资源（即人类繁荣与可持续发展）产生的长期影响，仍需更多研究与工具包。