63 citations · 159 across the 12 of their papers we have counts for
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cs.SE2024★ 4 cited
Targeted Deep Learning System Boundary Testing
Oliver Weißl, Amr Abdellatif, Xingcheng Chen +4
Evaluating the behavioral boundaries of deep learning (DL) systems is crucial for understanding their reliability across diverse, unseen inputs. Existing solutions fall short as th…
cs.AI2024★ 1 cited
Towards Equitable Agile Research and Development of AI and Robotics
Andrew Hundt, Julia Schuller, Severin Kacianka
Machine Learning (ML) and 'Artificial Intelligence' ('AI') methods tend to replicate and amplify existing biases and prejudices, as do Robots with AI. For example, robots with faci…