93 citations · 99 across the 9 of their papers we have counts for
5 papers · 1 filter
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…