80 citations · 192 across the 7 of their papers we have counts for
7 papers
Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms?
Rena Li, Sara Kingsley, Chelsea Fan +6
Recent years have witnessed an interesting phenomenon in which users come together to interrogate potentially harmful algorithmic behaviors they encounter in their everyday lives.…
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services
Tzu-Sheng Kuo, Hong Shen, Jisoo Geum +4
Recent years have seen growing adoption of AI-based decision-support systems (ADS) in homeless services, yet we know little about stakeholder desires and concerns surrounding their…
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning
Ángel Alexander Cabrera, Erica Fu, Donald Bertucci +4
Machine learning models with high accuracy on test data can still produce systematic failures, such as harmful biases and safety issues, when deployed in the real world. To detect…
Analysis of Longitudinal Changes in Privacy Behavior of Android Applications
Alexander Yu, Yuvraj Agarwal, Jason I. Hong
Privacy concerns have long been expressed around smart devices, and the concerns around Android apps have been studied by many past works. Over the past 10 years, we have crawled a…
Travel Guides for Creative Tourists, Powered by Geotagged Social Media
Dan Tasse, Jason I. Hong
Many modern tourists want to know about everyday life and spend time like a local in a new city. Current tools and guides typically provide them with lists of sights to see, which…
Sensor as a Company: On Self-Sustaining IoT Commons
Haojian Jin, Swarun Kumar, Jason I. Hong
Beyond the "smart home" and "smart enterprise", the Internet of Things (IoT) revolution is creating "smart communities", where shared IoT devices collectively benefit a large numbe…