93 citations · 99 across the 9 of their papers we have counts for
10 papers
Why and How People Check Generative AI Output for Mistakes
Patrick Gage Kelley, Derrick Feldmann, Reena Jana +2
Generative AI output can contain errors, such as hallucinations, non-responsive results, or otherwise inaccurate or potentially harmful content. To explore the public's emerging un…
HelpBench: Assessing the Ability of LLMs to Provide Privacy, Safety, and Security Advice
Sarah Meiklejohn, Sunny Consolvo, Patrick Gage Kelley +5
This paper introduces HelpBench, a benchmark for assessing whether LLMs are capable of providing accurate help in response to questions about digital privacy, safety, and security.…
"It didn't feel right but I needed a job so desperately": Understanding People's Emotions & Help Needs During Financial Scams
Jake Chanenson, Tara Matthews, Sunny Consolvo +7
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 scam…
Understanding Help Seeking for Digital Privacy, Safety, and Security
Kurt Thomas, Sai Teja Peddinti, Sarah Meiklejohn +7
The complexity of navigating digital privacy, safety, and security threats often falls directly on users. This leads to users seeking help from family and peers, platforms and advi…
How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape
Patrick Gage Kelley, Steven Rousso-Schindler, Renee Shelby +2
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…
"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe
Alexandra Klymenko, Stephen Meisenbacher, Patrick Gage Kelley +3
The proliferation of AI has sparked privacy concerns related to training data, model interfaces, downstream applications, and more. We interviewed 25 AI developers based in Europe…
Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives
Stephen Meisenbacher, Alexandra Klymenko, Patrick Gage Kelley +3
The rise of powerful AI models, more formally (GPAIS), has led to impressive leaps in performance across a wide range of tasks. At the same ti…
Supporting Human Raters with the Detection of Harmful Content using Large Language Models
Kurt Thomas, Patrick Gage Kelley, David Tao +7
In this paper, we explore the feasibility of leveraging large language models (LLMs) to automate or otherwise assist human raters with identifying harmful content including hate sp…
Understanding Help-Seeking and Help-Giving on Social Media for Image-Based Sexual Abuse
Miranda Wei, Sunny Consolvo, Patrick Gage Kelley +7
Image-based sexual abuse (IBSA), like other forms of technology-facilitated abuse, is a growing threat to people's digital safety. Attacks include unwanted solicitations for sexual…
How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries
Allison Woodruff, Renee Shelby, Patrick Gage Kelley +3
Generative AI is expected to have transformative effects in multiple knowledge industries. To better understand how knowledge workers expect generative AI may affect their industri…