Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Salehi, Niloufar"'
Autor:
Jin, Angela, Salehi, Niloufar
Accountable use of AI systems in high-stakes settings relies on making systems contestable. In this paper we study efforts to contest AI systems in practice by studying how public defenders scrutinize AI in court. We present findings from interviews
Externí odkaz:
http://arxiv.org/abs/2403.13004
Autor:
Mehandru, Nikita, Agrawal, Sweta, Xiao, Yimin, Khoong, Elaine C, Gao, Ge, Carpuat, Marine, Salehi, Niloufar
A major challenge in the practical use of Machine Translation (MT) is that users lack guidance to make informed decisions about when to rely on outputs. Progress in quality estimation research provides techniques to automatically assess MT quality, b
Externí odkaz:
http://arxiv.org/abs/2310.16924
Most social media platforms implement content moderation to address interpersonal harms such as harassment. Content moderation relies on offender-centered, punitive approaches, e.g., bans and content removal. We consider an alternative justice framew
Externí odkaz:
http://arxiv.org/abs/2211.01524
Machine Translation (MT) has the potential to help people overcome language barriers and is widely used in high-stakes scenarios, such as in hospitals. However, in order to use MT reliably and safely, users need to understand when to trust MT outputs
Externí odkaz:
http://arxiv.org/abs/2205.06920
Publikováno v:
Proc. ACM Hum.-Comput. Interact. 6, CSCW2, Article 377 (November 2022), 23 pages
Targeted advertising can harm vulnerable groups when it targets individuals' personal and psychological vulnerabilities. We focus on how targeted weight-loss advertisements harm people with histories of disordered eating. We identify three features o
Externí odkaz:
http://arxiv.org/abs/2204.03200
Public school districts across the United States have implemented school choice systems that have the potential to improve underserved students' access to educational opportunities. However, research has shown that learning about and applying for sch
Externí odkaz:
http://arxiv.org/abs/2203.15795
Autor:
Salehi, Niloufar, Amir, Saman, Roci, Malvina, Shoaib-ul-Hasan, Sayyed, Asif, Farazee M.A., Mihelič, Aleš, Sweet, Susanne, Rashid, Amir
Publikováno v:
In Sustainable Production and Consumption November 2024 51:169-198
Autor:
Kaviani, Darya, Salehi, Niloufar
Instagram infographics are a digital activism tool that have redefined action frames for technology-facilitated social movements. From the 1960s through the 1980s, United States ethnic movements practiced collective action: ideologically unified, res
Externí odkaz:
http://arxiv.org/abs/2111.00714
Publikováno v:
CHI Conference on Human Factors in Computing Systems (CHI '21), May 8--13, 2021, Yokohama, Japan
Across the United States, a growing number of school districts are turning to matching algorithms to assign students to public schools. The designers of these algorithms aimed to promote values such as transparency, equity, and community in the proce
Externí odkaz:
http://arxiv.org/abs/2101.10367
Efforts to make machine learning more widely accessible have led to a rapid increase in Auto-ML tools that aim to automate the process of training and deploying machine learning. To understand how Auto-ML tools are used in practice today, we performe
Externí odkaz:
http://arxiv.org/abs/2101.04834