Human-centered artificial intelligence (AI) posits that machine learning and AI should be developed and applied in a socially aware way. In this article, we argue that qualitative analysis (QA) can be a valuable tool in this process, supplementing, informing, and extending the possibilities of AI models. We show this by describing how QA can be integrated in the current prediction paradigm of AI, assisting scientists in the process of selecting data, variables, and model architectures. Furthermore, we argue that QA can be a part of novel paradigms towards Human Centered AI. QA can support scientists and practitioners in practical problem solving and situated model development. It can also promote participatory design approaches, reveal understudied and emerging issues in AI systems, and assist policy making.
翻译:以人为中心的人工智能(AI)认为,机器学习和人工智能应当以社会意识的方式开发和应用。在本条中,我们认为质量分析(QA)可成为这一进程中的宝贵工具,补充、通报和扩大AI模型的可能性。我们通过描述质量评估如何融入AI目前的预测范式,协助科学家选择数据、变量和模型结构。此外,我们认为,质量评估可以成为人类中心AI的新范式的一部分。质量分析可以支持科学家和从业者解决实际问题和开发定位模型,还可以促进参与性设计方法,揭示AI系统中研究不足和正在出现的问题,协助政策制定。