AIMC Topic: Judgment
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The impact of AI errors in a human-in-the-loop process.
Cognitive research: principles and implications
Jan 7, 2024
Automated decision-making is becoming increasingly common in the public sector. As a result, political institutions recommend the presence of humans in these decision-making processes as a safeguard against potentially erroneous or biased algorithmic...
When does "no" mean no? Insights from sex robots.
Cognition
Dec 27, 2023
Although sexual assault is widely accepted as morally wrong, not all instances of sexual assault are evaluated in the same way. Here, we ask whether different characteristics of victims affect people's moral evaluations of sexual assault perpetrators...
Younger, not older, children trust an inaccurate human informant more than an inaccurate robot informant.
Child development
Dec 1, 2023
This study examined preschoolers' trust toward accurate and inaccurate robot informants versus human informants. Singaporean children aged 3-5 years (N = 120, 57 girls, mostly Asian; data collected from 2017 to 2018) viewed either a robot or a human ...
A Cross Sectional Study of ChatGPT in Translation: Magnitude of Use, Attitudes, and Uncertainties.
Journal of psycholinguistic research
Nov 7, 2023
This preliminary cross-sectional study, focusing on Artificial Intelligence (AI), aimed to assess the impact of ChatGPT on translation within an Arab context. It primarily explored the attitudes of a sample of translation teachers and students throug...
Do preschoolers trust a competent robot pointer?
Journal of experimental child psychology
Oct 5, 2023
How young children learn from different informants has been widely studied. However, most studies investigate how children learn verbally conveyed information. Furthermore, most studies investigate how children learn from humans. This study sought to...
Extrapolation of affective norms using transformer-based neural networks and its application to experimental stimuli selection.
Behavior research methods
Sep 25, 2023
Data on the emotionality of words is important for the selection of experimental stimuli and sentiment analysis on large bodies of text. While norms for valence and arousal have been thoroughly collected in English, most languages do not have access ...
Deep Learning-Based Evaluation of Ultrasound Images for Benign Skin Tumors.
Sensors (Basel, Switzerland)
Aug 24, 2023
In this study, a combined convolutional neural network for the diagnosis of three benign skin tumors was designed, and its effectiveness was verified through quantitative and statistical analysis. To this end, 698 sonographic images were taken and di...
Human's moral judgements towards different social actors: A cross-sectional study.
The British journal of developmental psychology
Aug 8, 2023
The proliferation of artificial intelligence may pose new challenges to people's moral judgements. We examined moral judgements towards different social actors and their influencing factors in children, adolescents and adults. Moral judgements were m...
Scene context is predictive of unconstrained object similarity judgments.
Cognition
Jul 24, 2023
What makes objects alike in the human mind? Computational approaches for characterizing object similarity have largely focused on the visual forms of objects or their linguistic associations. However, intuitive notions of object similarity may depend...
Humans versus AI: whether and why we prefer human-created compared to AI-created artwork.
Cognitive research: principles and implications
Jul 4, 2023
With the recent proliferation of advanced artificial intelligence (AI) models capable of mimicking human artworks, AI creations might soon replace products of human creativity, although skeptics argue that this outcome is unlikely. One possible reaso...
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