Survey experiment finds that people apply more deontological standards to AI described as human-programmed and to the programmers themselves than to unaided humans or unprogrammed robots in a moral dilemma.
2001.Doing Science: Design, Analysis and Communication of Scientific Research(1 ed.)
6 Pith papers cite this work. Polarity classification is still indexing.
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PsyGAT structures conversations as dynamic temporal graphs with Psychological Expression Units and persona augmentation to reach state-of-the-art Macro F1 scores of 89.99 and 71.37 on DAIC-WoZ and E-DAIC while adding causal interpretability.
Lexical frequency is a stronger predictor of metaphor novelty than LM surprisal, with the surprisal-novelty link peaking early in training before declining as surprisal becomes more aligned with frequency.
The Wilcoxon signed-rank test routinely loses Type I error control in IR benchmarking and should be abandoned.
Origin-of-life research needs to treat the emergence of life as an evolutionary process, with LUCA already representing a complex, adapted population that implies substantial pre-LUCA history.
The work introduces a visualization framework that turns imperceptible micro-expressions into perceptible cues and outlines a planned pilot study to test effects on empathic experience.
citing papers explorer
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The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers
Survey experiment finds that people apply more deontological standards to AI described as human-programmed and to the programmers themselves than to unaided humans or unprogrammed robots in a moral dilemma.
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Psychologically-Grounded Graph Modeling for Interpretable Depression Detection
PsyGAT structures conversations as dynamic temporal graphs with Psychological Expression Units and persona augmentation to reach state-of-the-art Macro F1 scores of 89.99 and 71.37 on DAIC-WoZ and E-DAIC while adding causal interpretability.
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The Frequency Confound in Language-Model Surprisal and Metaphor Novelty
Lexical frequency is a stronger predictor of metaphor novelty than LM surprisal, with the surprisal-novelty link peaking early in training before declining as surprisal becomes more aligned with frequency.
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The Origin of Life in the Light of Evolution
Origin-of-life research needs to treat the emergence of life as an evolutionary process, with LUCA already representing a complex, adapted population that implies substantial pre-LUCA history.
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Making the Invisible Visible: Toward Micro-Expression Visualization for Empathy in Social Interaction
The work introduces a visualization framework that turns imperceptible micro-expressions into perceptible cues and outlines a planned pilot study to test effects on empathic experience.