Publications
Passively collected "big" data sources are increasingly used to inform critical development policy decisions in low- and middle-income countries. While prior work highlights how such approaches may reveal sensitive information, enable surveillance, and centralize power, less is known about the corresponding privacy concerns, hopes, and fears of the people directly impacted by these…
Eliciting youth perspectives on technology presents unique challenges, as traditional research methods often feel formal, abstract, or disconnected from teens’ lived experiences. Building on HCI research engaged with present-day sociotechnical experiences, our work examines teens’ impressions of their technological futures through design fiction. In this study, we conducted design…
We introduce Being The Creek, a mobile augmented reality (MAR) experience that invites participants to take a “first-person” perspective of a historically-significant-creek by lying alongside her and getting attuned to her environment through embodied multisensory engagement. Individuals experience how the world might appear from the Creek’s perspective, from the…
Recent advancements in general-purpose AI have highlighted the urgent need to align AI systems with the goals, ethical principles, and values of individuals and society. Existing alignment research has been primarily approached as an AI-centered, static, and unidirectional process. However, this unidirectional perspective falls short of taking into account the dynamic and evolving…
Podcasts have been recognized as an accessible and engaging medium for education and science communication. Recent advances in generative AI have led to the development of tools that transform science communication by summarizing complex research for broader audiences. However, little research has explored original authors’ perspectives and reactions to these tools, leaving gaps in…
The technology industry has long sought to diversify its workforce. This study evaluates one avenue that works against these efforts: the interaction between recruiter work practices and algorithmic recruiting tools. Through interviews and cognitive walkthroughs with fifteen recruiters, we find that recruiters—often under deadlines and quotas—develop shortcuts (e.g., computer science…
Social movement organizations, such as mutual aid groups, rely on technology to increase their influence, meet immediate needs, and address systemic inequalities. In this paper, we examine the role of technology in moments of crisis and the tensions mutual aid groups face when relying on tools designed with values that may be antithetical to their own. Through a qualitative study with…
There are growing discussions within the research community about how to adapt study design given the widespread availability of Generative Artificial Intelligence (GenAI), including Large Language Models (LLMs). While much prior research has focused on LLM use from a researcher perspective (e.g. detecting and screening for LLM use) we present a complementary study from the perspective…
AI systems and tools today can generate human-like expressions on behalf of people. It raises the crucial question about how to sustain human agency in AI-mediated communication. We investigated this question in the context of machine translation (MT) assisted conversations. Our participants included 45 dyads. Each dyad consisted of one new immigrant in the United States, who leveraged…
We describe a large-scale dataset - DeepSpeak - of real and deepfake footage of people talking and gesturing in front of their webcams. The real videos in this dataset consist of a total of 50 hours of footage from 500 diverse individuals. Constituting more than 50 hours of footage, the fake videos consist of a range of different state-of-the-art avatar, face-swap, and lip-sync deepfakes…
As generative artificial intelligence (AI) continues its ballistic trajectory, everything from text to audio, image, and video generation continues to improve at mimicking human-generated content. Through a series of perceptual studies, we report on the realism of AI-generated voices in…
Using computational methods, we investigate a data set of 874,125 sentences from 30 U.S. history textbooks used in California and Texas schools to consider how they discuss Asians/Asian Americans. Only 1% of all sentences in our sample has any mention of Asians. Most of these sentences focus on Chinese and Japanese, and when individuals are named, they are usually White. The most…
Cyber-attacks on healthcare entities and leaks of personal identifiable information (PII) are a growing threat. However, it is now possible to learn sensitive characteristics of an individual without PII, by combining advances in artificial intelligence, analytics, and online repositories. We discuss privacy threats and privacy engineering…
From a simple text prompt, generative-AI image models can create stunningly realistic and creative images bounded, it seems, by only our imagination. These models have achieved this remarkable feat thanks, in part, to the ingestion of billions of images collected from nearly every corner of the internet. Many creators have understandably expressed concern over how their intellectual…
Diagnosis of soil-transmitted helminthiasis and schistosomiasis for surveillance relies on microscopic detection of ova in Kato–Katz (KK) prepared slides. Artificial intelligence (AI)-based platforms for parasitic eggs may be developed using a robust image set with defined labels by reference microscopists. This study aimed to determine interobserver variability among reference…
Online interpersonal harm, such as harassment and discrimination, is prevalent on social media platforms. Most platforms adopt content moderation as the primary solution, relying on measures like bans and content removal. These measures follow principles of punitive justice, which holds that perpetrators of harm should receive punishment in proportion to the offense. However, these strategies…
With drastic changes to abortion policy, the months following the Dobbs leak and subsequent decision in 2022 were a uniquely uncertain and difficult time for abortion access in the United States. To understand experiences of challenges to abortion access during that time, we used a hybrid inductive and deductive thematic coding approach to analyse descriptions of…
Personal mobility data from mobile phones and other sensors are increasingly used to inform policymaking during pandemics, natural disasters, and other humanitarian crises. However, even aggregated mobility traces can reveal private information about individual movements to potentially malicious actors. This paper develops and tests an approach for releasing private mobility data, which…
Understanding how people perceive algorithmic decision-making is remains critical, as these systems are increasingly integrated into areas such as education, healthcare, and criminal justice. These perceptions can shape trust in, compliance with, and the perceived legitimacy of automated systems. Focusing on San Francisco’s decade-long policy of algorithmic school assignments, we draw on…