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Unraveling the Dilemma of AI Errors: Exploring the Effectiv..:

, In: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems,

Pafla, Marvin ; Larson, Kate ; Hancock, Mark - p. 1-20 , 2024

Link: https://dl.acm.org/doi/10.1145/3613904.3642934

RT 
T1 <cTitle>Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems</cTitle>: T1 <Title>Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3642934&Exemplar=1&LAN=DE
				
A1 Pafla, Marvin
A1 Larson, Kate
A1 Hancock, Mark
PB ACM
YR 2024
K1 Stanford Question Answering Dataset (SQuAD 1.1v)
K1 dilemma of AI errors
K1 explainability
K1 explainable artificial intelligence (XAI)
K1 explanation confirmation bias
K1 explanation evaluation
K1 human explanation
K1 human-participant study
K1 large language models (LLMs)
K1 local explanations
K1 machine explanation
K1 post-hoc explanations
K1 question-answering task
K1 saliency maps
K1 text-explanations
K1 Human-centered computing
K1 Human computer interaction (HCI)
K1 Empirical studies in HCI
K1 HCI design and evaluation methods
K1 User studies
K1 Visualization
K1 Empirical studies in visualization
K1 Visualization techniques
K1 Heat maps
K1 Interaction paradigms
K1 Natural language interfaces
K1 Computing methodologies
K1 Artificial intelligence
K1 Natural language processing
SP 1
OP 20
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3613904.3642934
DO https://dl.acm.org/doi/10.1145/3613904.3642934
SF ELIB - SuUB Bremen

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