238 citations · 498 across the 5 of their papers we have counts for
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cs.LG2022★ 18 cited
Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems
Sarah Fabi, Thilo Hagendorff
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…
cs.LG2020
Investigating Efficient Learning and Compositionality in Generative LSTM Networks
Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese +1
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…