🔬 Research Summary by Arjun Arunasalam, a 4th-year Computer Science Ph.D. student at Purdue University researching security, privacy, and trust on online platforms from a human-centered lens. [Original paper by … [Read more...] about Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions
Research Summaries
Defending Against Authorship Identification Attacks
🔬 Research Summary by Haining Wang, a Ph.D. student at Indiana University Bloomington, specializing in natural language processing and large language models. [Original paper by Haining Wang] Overview: … [Read more...] about Defending Against Authorship Identification Attacks
Writer-Defined AI Personas for On-Demand Feedback Generation
🔬 Research Summary by Karim Benharrak, a first-year CS PhD student at the University of Texas Austin, where I design, develop, and evaluate interactive AI systems to unlock the collaborative potential of Human-AI … [Read more...] about Writer-Defined AI Personas for On-Demand Feedback Generation
Cleaning Up the Streets: Understanding Motivations, Mental Models, and Concerns of Users Flagging Social Media Posts
🔬 Research Summary by Alice Qian Zhang, a computer science major at the University of Minnesota interested in content moderation, mental health, and responsible artificial intelligence. [Original paper by Alice … [Read more...] about Cleaning Up the Streets: Understanding Motivations, Mental Models, and Concerns of Users Flagging Social Media Posts
Two Decades of Empirical Research on Trust in AI: A Bibliometric Analysis and HCI Research Agenda
🔬 Research Summary by Michaela Benk, a PhD candidate at the Mobiliar Lab for Analytics at ETH Zurich, researching trust in the context of explainable, interpretable, and transparent AI. [Original paper by … [Read more...] about Two Decades of Empirical Research on Trust in AI: A Bibliometric Analysis and HCI Research Agenda