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pro vyhledávání: '"Gilpin, Leilani H."'
Compositional Explanations is a method for identifying logical formulas of concepts that approximate the neurons' behavior. However, these explanations are linked to the small spectrum of neuron activations (i.e., the highest ones) used to check the
Externí odkaz:
http://arxiv.org/abs/2310.18443
Large language models (LLMs) such as ChatGPT have demonstrated superior performance on a variety of natural language processing (NLP) tasks including sentiment analysis, mathematical reasoning and summarization. Furthermore, since these models are in
Externí odkaz:
http://arxiv.org/abs/2310.11207
The application of Artificial Intelligence in the medical market brings up increasing concerns but aids in more timely diagnosis of silent progressing diseases like Diabetic Retinopathy. In order to diagnose Diabetic Retinopathy (DR), ophthalmologist
Externí odkaz:
http://arxiv.org/abs/2310.10806
Anticipatory thinking drives our ability to manage risk - identification and mitigation - in everyday life, from bringing an umbrella when it might rain to buying car insurance. As AI systems become part of everyday life, they too have begun to manag
Externí odkaz:
http://arxiv.org/abs/2306.13157
Autor:
Gilpin, Leilani H., Paley, Andrew R., Alam, Mohammed A., Spurlock, Sarah, Hammond, Kristian J.
There is broad agreement that Artificial Intelligence (AI) systems, particularly those using Machine Learning (ML), should be able to "explain" their behavior. Unfortunately, there is little agreement as to what constitutes an "explanation." This has
Externí odkaz:
http://arxiv.org/abs/2207.00007
There is a disconnect between explanatory artificial intelligence (XAI) methods and the types of explanations that are useful for and demanded by society (policy makers, government officials, etc.) Questions that experts in artificial intelligence (A
Externí odkaz:
http://arxiv.org/abs/1901.06560
There has recently been a surge of work in explanatory artificial intelligence (XAI). This research area tackles the important problem that complex machines and algorithms often cannot provide insights into their behavior and thought processes. XAI a
Externí odkaz:
http://arxiv.org/abs/1806.00069
Akademický článek
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Akademický článek
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Publikováno v:
ACM/IEEE International Conference on Human-Robot Interaction; Mar2018, p115-116, 2p