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:由于人工智能(AI)继续快速发展,考虑AI的伦理和社会影响变得日益重要。在本文件中,我们通过专题审查和分析27份CHI研究论文和19个来自产业和学术界的工具包,从下至上地对以人为中心的负责任的AI(HCR-AI)研究现状进行摸底。我们的研究结果表明,AI目前的研究非常强调解释性、公平性、隐私和安全。我们还发现,在AI中研究问责制和为非专家建立可用于审计AI的工具方面存在着空间。 虽然CHI社区已开始倡导直接或间接受AI影响的个人的福祉,但仍需要更多的研究和工具包来应对AI对个人、社会和自然资源(人类繁荣和可持续性)的长期影响。</s>