Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Emily Denton"'
Publikováno v:
Big Data & Society, Vol 8 (2021)
In response to growing concerns of bias, discrimination, and unfairness perpetuated by algorithmic systems, the datasets used to train and evaluate machine learning models have come under increased scrutiny. Many of these examinations have focused on
Externí odkaz:
https://doaj.org/article/04b65d9498874b2eb956159dfe2d9f1d
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 7:1-33
Computer vision is a "data hungry" field. Researchers and practitioners who work on human-centric computer vision, like facial recognition, emphasize the necessity of vast amounts of data for more robust and accurate models. Humans are seen as a data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a58cbee4890923abffb7ead9ad2b371
https://doi.org/10.1145/3579488
https://doi.org/10.1145/3579488
Publikováno v:
Communication Quarterly. 70:429-447
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2425aab5b38a9c835dff835af2c327f
https://doi.org/10.1080/01463373.2022.2077123
https://doi.org/10.1080/01463373.2022.2077123
Publikováno v:
IEEE Technology and Society Magazine. 40:80-83
Our work starts by offering two statements, given in different historical times and in different epistemic contexts, which reveal two radically different visions of what a problem is and how we should engage with it.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3964e74985b8f279af6f16ce2c743169
https://doi.org/10.1109/mts.2021.3104380
https://doi.org/10.1109/mts.2021.3104380
Autor:
Mark Díaz, Ian Kivlichan, Rachel Rosen, Dylan Baker, Razvan Amironesei, Vinodkumar Prabhakaran, Emily Denton
Human annotated data plays a crucial role in machine learning (ML) research and development. However, the ethical considerations around the processes and decisions that go into dataset annotation have not received nearly enough attention. In this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5a9fef3eb117254bc975cef2971f34b
http://arxiv.org/abs/2206.08931
http://arxiv.org/abs/2206.08931
Publikováno v:
Business and Professional Communication Quarterly. :232949062311657
Through the guidance of social presence theory, this study sought to understand how instructors’ affirming messages and social presence behaviors affect students’ writing apprehension in online business communication courses. The data were consis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::199f804cbbafb0dfcc8404881a58d026
https://doi.org/10.1177/23294906231165738
https://doi.org/10.1177/23294906231165738
Autor:
Razvan Amironesei, Aparna Ashok, Abeba Birhane, Crofton Black, Favour Borokini, Corinne Cath, Emily Denton, Serena Dokuaa Oduro, Alex Hanna, Adam Harvey, Fieke Jansen, Frederike Kaltheuner, Gemma Milne, Arvind Narayanan, Hilary Nicole, Ridwan Oloyede, Tulsi Parida, Aidan Peppin, Deborah Raji, Alexander Reben, Andrew Smart, Andrew Strait, James Vincent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad1d0a3a53d6eca9e006445c155b8526
https://doi.org/10.58704/kcha-1h20
https://doi.org/10.58704/kcha-1h20
Data is a crucial component of machine learning. The field is reliant on data to train, validate, and test models. With increased technical capabilities, machine learning research has boomed in both academic and industry settings, and one major focus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19a20db164d70ca33fd35672e450bd9b
http://arxiv.org/abs/2108.04308
http://arxiv.org/abs/2108.04308
Autor:
Jitsuda, Sitthi-Amorn, Emily, Denton, Erin, Harper, Delia, Carias, Saman, Hashmi, Sakshi, Bami, Allison, Ast, Taylor, Landry, Kenneth L, Pettit, Shilpa, Gorantla, Anna, Vinitsky, Yan, Zheng, Liza-Marie, Johnson
Publikováno v:
Pediatric Quality & Safety. 7:e572
Premedication with acetaminophen and/or diphenhydramine to prevent febrile nonhemolytic transfusion reactions and minor allergic transfusion reactions is a common practice based on historical recommendations. However, recent small randomized-controll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a27d0586cb501eb28f649f474fa6bc6
https://doi.org/10.1097/pq9.0000000000000572
https://doi.org/10.1097/pq9.0000000000000572
Autor:
Ben Hutchinson, Dylan Baker, Emily Denton, Jamie Morgenstern, Margaret Mitchell, Alex Hanna, Timnit Gebru, Nyalleng Moorosi
Publikováno v:
AIES
The ethical concept of fairness has recently been applied in machine learning (ML) settings to describe a wide range of constraints and objectives. When considering the relevance of ethical concepts to subset selection problems, the concepts of diver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b103487c833d861d03dcd56540df18b9
http://arxiv.org/abs/2002.03256
http://arxiv.org/abs/2002.03256