5 citations · 5 across the 1 of their papers we have counts for
4 papers
People over trust AI-generated medical responses and view them to be as valid as doctors, despite low accuracy
Shruthi Shekar, Pat Pataranutaporn, Chethan Sarabu +2
This paper presents a comprehensive analysis of how AI-generated medical responses are perceived and evaluated by non-experts. A total of 300 participants gave evaluations for medi…
Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
Samantha Chan, Pat Pataranutaporn, Aditya Suri +3
This study examines the impact of AI on human false memories -- recollections of events that did not occur or deviate from actual occurrences. It explores false memory induction th…
Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation
Valdemar Danry, Pat Pataranutaporn, Matthew Groh +2
Advanced Artificial Intelligence (AI) systems, specifically large language models (LLMs), have the capability to generate not just misinformation, but also deceptive explanations t…
Exploring the Impact of AI Value Alignment in Collaborative Ideation: Effects on Perception, Ownership, and Output
Alicia Guo, Pat Pataranutaporn, Pattie Maes
AI-based virtual assistants are increasingly used to support daily ideation tasks. The values or bias present in these agents can influence output in hidden ways. They may also aff…