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）持续快速发展，考量其伦理与社会影响日益重要。本文通过主题化梳理与分析27篇CHI会议研究论文及19个来自业界与学界的工具包，对"面向人本负责的人工智能"（HCR-AI）研究现状进行了自下而上的映射。研究结果表明，当前HCR-AI领域的研究高度聚焦于可解释性、公平性、隐私与安全。我们还发现，在AI问责研究以及为非专业用户构建可用AI审计工具方面仍存在发展空间。尽管CHI社区已开始倡导关注直接或间接受AI影响个体的福祉，但若要应对AI对个人、社会及自然资源的长期影响（即人类繁荣与可持续发展），仍需进一步开展研究并开发相应工具包。