How the machine ‘thinks’: Understanding opacity in machine learning algorithms

机器如何“思考”：理解机器学习算法中的不透明性

2016-1-6

Consumers are willing to pay a price for explainable, but not for green AI. Evidence from a choice-based conjoint analysis

消费者愿意为可解释的AI付费，但不愿为绿色AI付费。基于选择实验的联合分析证据

2022-1

Data extraction in dockless bikeshare: An analysis from users’ perspective

无桩共享单车数据提取：基于用户视角的分析

2024-11-21

Bridging awareness and resistance: Using algorithmic knowledge against controversial content

弥合意识与抵抗：利用算法知识对抗争议性内容

2024-11-10

Sounding out voice biometrics: Comparing and contrasting how the state and the private sector determine identity through voice

声音生物识别的探索：比较和对比国家与私营部门如何通过声音确定身份

2024-11-14

Data extraction in dockless bikeshare: An analysis from users’ perspective

无桩共享单车数据提取：基于用户视角的分析

2024-11-21

Sounding out voice biometrics: Comparing and contrasting how the state and the private sector determine identity through voice

声音生物识别的探索：比较和对比国家与私营部门如何通过声音确定身份

2024-11-14

Bridging awareness and resistance: Using algorithmic knowledge against controversial content

弥合意识与抵抗：利用算法知识对抗争议性内容

2024-11-10

Engaging citizens in experiments with computational analysis of patient stories: From unwarranted reductions to meaningful insights

公民参与患者故事计算分析实验：从无根据的简化到有意义的洞察

2024-11-5

‘Data saves lives’: Ideational-material drivers of health data journeys in the UK

“数据拯救生命”：英国健康数据旅程中的理念与物质驱动因素

2024-11-5