Results 91 to 100 of about 45,855 (309)
Magically Deceptive Biological Motion — The French Drop Sleight
Intentional deception, as is common in the performance of magic tricks, can provide valuable insight into the mechanisms of perception and action. Much of the recent investigations into this form of deception revolve around the attention of the observer.
Flip ePhillips +3 more
doaj +1 more source
An Idiographic Paradigm for Research on Cues to Deception: An Urgent Proposal
We introduce a novel individual-focused paradigm to the scientific study of deception cues. Past research on deception cues compares the behavior of truth tellers and liars at the group level, suitable for answering the question how the behavior of truth
Timothy J. Luke, Erik Mac Giolla
core +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
AI deception: A survey of examples, risks, and potential solutions
Summary: This paper argues that a range of current AI systems have learned how to deceive humans. We define deception as the systematic inducement of false beliefs in the pursuit of some outcome other than the truth. We first survey empirical examples of
Peter S. Park +4 more
doaj +1 more source
Towards Intelligent Cyber Deception Systems
The increasingly sophisticated nature of cyberattacks reduces the effectiveness of expert human intervention due to their slow response times. Consequently, interest in automated agents that can make intelligent decisions and plan countermeasures is ...
Giulio Pagnotta +7 more
core +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
University students are particularly vulnerable to depression. This study examines the correlations and predictive roles between self-deception, psychological capital, and depression among students from Chinese normal university.
Yuxia Chen +2 more
doaj +1 more source
Physicians' Interactions With Third-Party Payers -- Is Deception Necessary?
Published reports indicate that physicians sometimes use deceptive tactics with third-party payers. Many physicians appear to be willing to deceive to secure care that they perceive as necessary, particularly when illnesses are severe and appeals ...
Bogardus, Sidney T., Jr. +2 more
core
Resampling the peak, some dos and don'ts [PDF]
Resampling techniques are used widely within the ERP community to assess statistical significance and especially in the deception detection literature.
Zoumpoulaki, Alexia +3 more
core +1 more source
ABSTRACT Open‐source artificial intelligence is widely promoted as a democratising pathway to digital sovereignty for African states, offering access to frontier architectures without prohibitive capital investment. This paper investigates whether open‐source AI represents a credible route to autonomy or generates a new form of structural dependency ...
Ololade A. Shonubi
wiley +1 more source

