Zobrazeno 1 - 10
of 667
pro vyhledávání: '"Berendt, P"'
Autor:
Fahimi, Miriam, Russo, Mayra, Scott, Kristen M., Vidal, Maria-Esther, Berendt, Bettina, Kinder-Kurlanda, Katharina
The field of fair AI aims to counter biased algorithms through computational modelling. However, it faces increasing criticism for perpetuating the use of overly technical and reductionist methods. As a result, novel approaches appear in the field to
Externí odkaz:
http://arxiv.org/abs/2407.16496
This systematic review synthesizes current research on echo chambers and filter bubbles to highlight the reasons for the dissent in echo chamber research on the existence, antecedents, and effects of the phenomenon. The review of 112 studies reveals
Externí odkaz:
http://arxiv.org/abs/2407.06631
Whistleblowing is essential for ensuring transparency and accountability in both public and private sectors. However, (potential) whistleblowers often fear or face retaliation, even when reporting anonymously. The specific content of their disclosure
Externí odkaz:
http://arxiv.org/abs/2405.01097
The European legislature has proposed the Digital Services Act (DSA) and Artificial Intelligence Act (AIA) to regulate platforms and Artificial Intelligence (AI) products. We review to what extent third-party audits are part of both laws and to what
Externí odkaz:
http://arxiv.org/abs/2403.07904
Training monolingual language models for low and mid-resource languages is made challenging by limited and often inadequate pretraining data. In this study, we propose a novel model conversion strategy to address this issue, adapting high-resources m
Externí odkaz:
http://arxiv.org/abs/2310.03477
Publikováno v:
BMC Pediatrics, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Echocardiography is a tool used in neonatal period to screen for congenital heart defects and to assess the function of the cardiovascular system. It enables obtaining a three-vessel view (3VV) to show how the superior vena cava,
Externí odkaz:
https://doaj.org/article/0be0d31c659b405e87e88110add425e7
Libraries are increasingly relying on computational methods, including methods from Artificial Intelligence (AI). This increasing usage raises concerns about the risks of AI that are currently broadly discussed in scientific literature, the media and
Externí odkaz:
http://arxiv.org/abs/2303.07207
Publikováno v:
FAccT '23: the 2023 ACM Conference on Fairness, Accountability, and Transparency Chicago IL USA June 12 - 15, 2023
In uses of pre-trained machine learning models, it is a known issue that the target population in which the model is being deployed may not have been reflected in the source population with which the model was trained. This can result in a biased mod
Externí odkaz:
http://arxiv.org/abs/2302.13846
To mitigate gender bias in contextualized language models, different intrinsic mitigation strategies have been proposed, alongside many bias metrics. Considering that the end use of these language models is for downstream tasks like text classificati
Externí odkaz:
http://arxiv.org/abs/2301.12855
Diversity Searcher is a tool originally developed to help analyse diversity in news media texts. It relies on a form of automated content analysis and thus rests on prior assumptions and depends on certain design choices related to diversity and fair
Externí odkaz:
http://arxiv.org/abs/2301.00671