Renee Shelby

schoolGooglebar_chart#838 Global Rank

Total Papers

HCI Rank

#838

Research Areas

Years Active

Recent Publications

How Tech Workers Contend with Hazards of Humanlikeness in Generative AI

Generative AI's humanlike qualities are driving its rapid adoption in professional domains. However, this anthropomorphic appeal raises concerns from HCI and responsible AI scholars about potential hazards and harms, such as overtrust in system outputs. To investigate how technology workers navigate these humanlike qu…

CHI '265th+ AuthorPrivacy Perception & Decision-Making +2

"It didn’t feel right but I needed a job so desperately": Understanding People’s Emotions and Help Needs During Scams

Online financial scams represent a long-standing and serious threat for which people seek help. We present a study to understand people’s in situ motivations for engaging with scams and the help needs they express before, during, and after encountering a scam. We identify the main emotions scammers exploited (e.g., fe…

CHI '265th+ AuthorPrivacy Perception & Decision-Making +1

Who Is At Risk? Examining the Prevalence of Digital-Safety Attacks and Contextual Risk Factors in the United States

A growing body of qualitative research has identified contextual risk factors that elevate people’s chances of experiencing digital-safety attacks. However, the lack of quantitative data on the population-level distribution of these risk factors prevents policymakers and tech companies from developing targeted, evide…

CHI '263rd AuthorGenerative AI (Text, Image, Music, Video) +4

How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape

Generative AI (GenAI) is a powerful technology poised to reshape Trust & Safety. While misuse by attackers is a growing concern, its defensive capacity remains underexplored. This paper examines these effects through a qualitative study with 43 Trust & Safety experts across five domains: child safety, election integri…

CSCW '241st AuthorSession 3a: AI in Creative Workflows: Opportunities and Challenges

Creative ML Assemblages: The interactive politics of people, processes, and products

Creative ML tools are collaborative systems that afford artistic creativity through their myriad interactive relationships. We propose using ``assemblage thinking" to support analyses of creative ML by approaching it as a system in which the elements of people, organizations, culture, practices, and technology constan…

DIS '243rd AuthorIntelligent Voice Assistants (Alexa, Siri, etc.) +2

In Whose Voice?: Examining AI Agent Representation of People in Social Interaction through Generative Speech

As generative artificial intelligence (genAI) applications gain popularity, there is a dearth of research examining how applications may transform social interactions. One possible application set to transform social interactions is the use of generative speech to power AI agents that can realistically represent peopl…

CHI '241st AuthorGenerative AI (Text, Image, Music, Video) +2

Generative AI in Creative Practice: ML-Artist Folk Theories of T2I Use, Harm, and Harm-Reduction

Understanding how communities experience algorithms is necessary to mitigate potential harmful impacts. This paper presents folk theories of text-to-image (T2I) models to enrich understanding of how artist communities experience creative machine learning systems. This research draws on data collected from a workshop w…

CHI '242nd AuthorGenerative AI (Text, Image, Music, Video) +1

How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries

Generative AI is expected to have transformative effects in multiple knowledge industries. To better understand how knowledge workers expect generative AI may affect their industries in the future, we conducted participatory research workshops for seven different industries, with a total of 54 participants across thre…

CHI '232nd AuthorBest PaperCognitive Impairment & Neurodiversity (Autism, ADHD, Dyslexia) +2

Infrastructuring Care: How Trans and Non-Binary People Meet Health and Well-Being Needs through Technology

We present a cross-cultural diary study with 64 transgender (trans) and non-binary adults in Mexico, the U.S., and India, to understand experiences keeping track of and managing aspects of personal health and well-being. Based on a reflexive thematic analysis of diary data, we highlight sociotechnical interactions tha…

CHI '232nd AuthorAI-Assisted Decision-Making & Automation +2

From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML

Inappropriate design and deployment of machine learning (ML) systems lead to negative downstream social and ethical impacts -- described here as social and ethical risks -- for users, society, and the environment. Despite the growing need to regulate ML systems, current processes for assessing and mitigating risks are…

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