Globally, the use of mobile phones for improving access to healthcare and conducting
health research has gained traction in recent years as rates of ownership increase …

Usable privacy and security researchers have developed a variety of approaches to
represent risk to research participants. To understand how these approaches are used and …

In March 2018, news of the Facebook-Cambridge Analytica scandal made headlines around
the world. By inappropriately collecting data from approximately 87 million users' Facebook …

" Human-centered machine learning"(HCML) combines human insights and domain
expertise with data-driven predictions to answer societal questions. This area's inherent …

Even as public pressure mounts for technology companies to consider societal impacts of
products, industries and governments in the AI race are demanding technical talent. To meet …

Emotion recognition algorithms recognize, infer, and harvest emotions using data sources
such as social media behavior, streaming service use, voice, facial expressions, and …

As sites where social media corporations profess their commitment to principles like
community and free speech, policy documents function as boundary objects that navigate …

Online service providers are aggressively evolving the digital systems around us into
surveillance platforms. From voice assistants that listen to every conversation, to apps that …

In this paper we present a methodology to analyze users' concerns and perspectives about
privacy at scale. We leverage NLP techniques to process millions of mobile app reviews and …

Ethical deliberation has proved a consistent feature of Human-Computer Interaction (HCI)
since its earliest years, spanning the respectful involvement of research participants to …