公共部门创新中的参与式 AI 设计新实践

地方和联邦机构正在快速采纳 AI 系统来 augment 或 automate critical decisions，efficiently use resources，improve public service delivery。AI 系统被用于 support 与 urban planning、security、surveillance、energy 和 critical infrastructure 相关的任务，support decisions that directly affect citizens and their ability to access essential services。地方政府作为离 citizens 最近的治理层，must play a critical role in upholding democratic values and building community trust especially as it relates to smart city initiatives that seek to transform public services through the adoption of AI。Community-centered and participatory approaches have been central for ensuring the appropriate adoption of technology；however，AI innovation introduces new challenges in this context because participatory AI design methods require more robust formulation and face higher standards for implementation in the public sector compared to the private sector。This requires us to reassess traditional methods used in this space as well as develop new resources and methods。This workshop will explore emerging practices in participatory algorithm design - or the use of public participation and community engagement - in the scoping, design, adoption, and implementation of public sector algorithms。