Many powerful Artificial Intelligence (AI) techniques have been engineered with the goals of high performance and accuracy. Recently, AI algorithms have been integrated into diverse and real-world applications. It has become an important topic to explore the impact of AI on society from a people-centered perspective. Previous works in citizen science have identified methods of using AI to engage the public in research, such as sustaining participation, verifying data quality, classifying and labeling objects, predicting user interests, and explaining data patterns. These works investigated the challenges regarding how scientists design AI systems for citizens to participate in research projects at a large geographic scale in a generalizable way, such as building applications for citizens globally to participate in completing tasks. In contrast, we are interested in another area that receives significantly less attention: how scientists co-design AI systems "with" local communities to influence a particular geographical region, such as community-based participatory projects. Specifically, this article discusses the challenges of applying AI in Community Citizen Science, a framework to create social impact through community empowerment at an intensely place-based local scale. We provide insights in this under-explored area of focus to connect scientific research closely to social issues and citizen needs.
翻译:许多强大的人工智能(AI)技术已经以高性能和准确性为目标设计。最近,AI算法已经被纳入多样化和现实世界的应用中。它已成为从以人为本的角度探讨AI对社会的影响的一个重要专题。公民科学的以往著作已经确定了利用AI使公众参与研究的方法,例如持续参与、核实数据质量、分类和标注物体、预测用户兴趣和解释数据模式。这些著作调查了科学家如何设计AI系统,让公民普遍地参与大范围的研究项目的挑战,例如在全球范围建立公民参与完成任务的应用软件。相反,我们对另一个关注度低得多的领域感兴趣:科学家如何与当地社区共同设计AI系统,以影响特定地理区域,例如以社区为基础的参与项目。具体来说,本文章讨论了在社区公民科学中应用AI的挑战,这是一个通过在密集的地方规模上赋予社区权力,产生社会影响的框架。我们在这个研究不足的领域提供了见解,将科学研究与社会问题和公民需要紧密联系起来。