Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Nithya Sambasivan"'
Autor:
Nithya Sambasivan
Publikováno v:
Interactions. 29:78-80
This is a forum for perspectives on designing for marginalized communities worldwide. Articles will discuss design methods, theoretical/conceptual contributions, and participatory interventions with underserved communities. --- Nithya Sambasivan, Edi
Publikováno v:
CHI Conference on Human Factors in Computing Systems.
Publikováno v:
CHI Conference on Human Factors in Computing Systems.
Publikováno v:
CHI Conference on Human Factors in Computing Systems.
Autor:
Nithya Sambasivan
Publikováno v:
Interactions. 28:76-78
This is a forum for perspectives on designing for marginalized communities worldwide. Articles will discuss design methods, theoretical/conceptual contributions, and participatory interventions with underserved communities. --- Nithya Sambasivan, Edi
Publikováno v:
Interactions. 27:80-83
This is a forum for perspectives on designing for marginalized communities worldwide. Articles will discuss design methods, theoretical/conceptual contributions, and participatory interventions with underserved communities. --- Nithya Sambasivan, Edi
Autor:
Sunny Consolvo, Elie Bursztein, Nova Ahmed, Amna Batool, Tara Matthews, Laura S. Gaytán-Lugo, David Nemar, Kurt Thomas, Elizabeth F. Churchill, Nithya Sambasivan
Publikováno v:
IEEE Security & Privacy. 17:71-77
South Asia has one of the world's largest populationsmIndia, Pakistan, and Bangladesh alone are home to more than 20% of all people. The region is also one of the fastest-growing technology markets as a result of its increased infrastructure and grow
Autor:
Jess S. Holbrook, Nithya Sambasivan
Publikováno v:
Interactions. 26:68-71
This is a forum for perspectives on designing for communities marginalized by economics, social status, infrastructure, or policies. It will discuss design methods, theoretical and conceptual contributions, and methodological engagements for underser
Autor:
Praveen Paritosh, Nithya Sambasivan, Hannah Highfill, Lora Aroyo, Diana Akrong, Shivani Kapania
Publikováno v:
CHI
AI models are increasingly applied in high-stakes domains like health and conservation. Data quality carries an elevated significance in high-stakes AI due to its heightened downstream impact, impacting predictions like cancer detection, wildlife poa
Publikováno v:
FAccT
Conventional algorithmic fairness is West-centric, as seen in its sub-groups, values, and methods. In this paper, we de-center algorithmic fairness and analyse AI power in India. Based on 36 qualitative interviews and a discourse analysis of algorith