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pro vyhledávání: '"Fabi, Sarah"'
Autor:
Hagendorff, Thilo, Fabi, Sarah
Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Therefore, it is of great importance to evaluate their emerging abilities. In this study, we show that LLMs, most notab
Externí odkaz:
http://arxiv.org/abs/2306.07622
Autor:
Hagendorff, Thilo, Fabi, Sarah
The field of artificial intelligence (AI) alignment aims to investigate whether AI technologies align with human interests and values and function in a safe and ethical manner. AI alignment is particularly relevant for large language models (LLMs), w
Externí odkaz:
http://arxiv.org/abs/2301.06859
Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Therefore, it is of great importance to evaluate their emerging abilities. In this study, we show that LLMs like GPT-3
Externí odkaz:
http://arxiv.org/abs/2212.05206
Autor:
Fabi, Sarah, Hagendorff, Thilo
This paper stresses the importance of biases in the field of artificial intelligence (AI) in two regards. First, in order to foster efficient algorithmic decision-making in complex, unstable, and uncertain real-world environments, we argue for the st
Externí odkaz:
http://arxiv.org/abs/2203.09911
When comparing human with artificial intelligence, one major difference is apparent: Humans can generalize very broadly from sparse data sets because they are able to recombine and reintegrate data components in compositional manners. To investigate
Externí odkaz:
http://arxiv.org/abs/2004.07754
Racial bias in empathy: Do we process dark- and fair-colored hands in pain differently? An EEG study
Autor:
Fabi, Sarah, Leuthold, Hartmut
Publikováno v:
In Neuropsychologia June 2018 114:143-157
Akademický článek
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Akademický článek
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Autor:
Hagendorff, Thilo, Fabi, Sarah
The field of artificial intelligence (AI) alignment aims to investigate whether AI technologies align with human interests and values and function in a safe and ethical manner. AI alignment is particularly relevant for large language models (LLMs), w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b6fb56a9c8a5aab3079fe6a7122ca37
Autor:
Fabi, Sarah1 (AUTHOR) sarah.fabi@uni-tuebingen.de, Weber, Lydia Anna2 (AUTHOR), Leuthold, Hartmut1 (AUTHOR)
Publikováno v:
PLoS ONE. 11/14/2019, Vol. 14 Issue 11, p1-22. 22p.