Truth machines: synthesizing veracity in AI language models
As AI technologies are rolled out into healthcare, academia, human resources, law, and a
multitude of other domains, they become de-facto arbiters of truth. But truth is highly …
multitude of other domains, they become de-facto arbiters of truth. But truth is highly …
Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
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 through …
did not occur or deviate from actual occurrences. It explores false memory induction through …
Can Users Correctly Interpret Machine Learning Explanations and Simultaneously Identify Their Limitations?
Automated decision-making systems are becoming increasingly ubiquitous, motivating an
immediate need for their explainability. However, it remains unclear whether users know …
immediate need for their explainability. However, it remains unclear whether users know …
Deciphering Deception: How Different Rhetoric of AI Language Impacts Users' Sense of Truth in LLMs
Users are increasingly exposed to AI-generated language, presenting potential deception
and communication risks. This study delved into the rhetorical aspect of AI-generated …
and communication risks. This study delved into the rhetorical aspect of AI-generated …
Super-intelligence or Superstition? Exploring Psychological Factors Underlying Unwarranted Belief in AI Predictions
This study investigates psychological factors influencing belief in AI predictions about
personal behavior, comparing it to belief in astrology and personality-based predictions …
personal behavior, comparing it to belief in astrology and personality-based predictions …
[HTML][HTML] Comprehension is a double-edged sword: Over-interpreting unspecified information in intelligible machine learning explanations
Automated decision-making systems are becoming increasingly ubiquitous, which creates
an immediate need for their explainability. However, it remains unclear whether users know …
an immediate need for their explainability. However, it remains unclear whether users know …
Synthetic Human Memories: AI-Edited Images and Videos Can Implant False Memories and Distort Recollection
P Pataranutaporn, C Archiwaranguprok… - arXiv preprint arXiv …, 2024 - arxiv.org
AI is increasingly used to enhance images and videos, both intentionally and
unintentionally. As AI editing tools become more integrated into smartphones, users can …
unintentionally. As AI editing tools become more integrated into smartphones, users can …
The Power of Perception in Human-AI Interaction: Investigating Psychological Factors and Cognitive Biases that Shape User Belief and Behavior
E Lee - arXiv preprint arXiv:2409.15328, 2024 - arxiv.org
This thesis investigates the psychological factors that influence belief in AI predictions,
comparing them to belief in astrology-and personality-based predictions, and examines the" …
comparing them to belief in astrology-and personality-based predictions, and examines the" …
Leveraging LLMs for Reflection : Approaches to Mitigate Assumptions within the Design Process
N Muhs, A Stankowski - 2024 - dl.designresearchsociety.org
In an increasingly complex landscape, designers grapple with unprecedented uncertainty,
often exacerbated by inherent biases and implicit assumptions. Utilizing Large Language …
often exacerbated by inherent biases and implicit assumptions. Utilizing Large Language …