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A goal of accessible technology (AT) design is often to increase independence, i.e., to enable people with disabilities to accomplish tasks on their own without help. Recent work challenges this view by recognizing the role of ‘help’ in addressing the ...

Grassroots workers are increasingly subjected to data-driven systems worldwide. While there has been increasing attention to processes of datafication in state sponsored welfare programs, not much attention has been focused on everyday workplace of the ...

Accountability, a requisite for responsible AI, can be facilitated through transparency mechanisms such as audits and explainability. However, prior work suggests that the success of these mechanisms may be limited to Global North contexts; ...

Field workers, like farmers and radiologists, play a crucial role in dataset collection for AI models in low-resource settings. However, we know little about how field workers’ expertise is leveraged in dataset and model development. Based on 68 ...

Data is fundamental to AI/ML models. This paper investigates the work practices concerning data annotation as performed in the industry, in India. Previous human-centred investigations have largely focused on annotators’ subjectivity, bias and ...

Data-driven approaches that form the foundation of advancements in machine learning (ML) are powered in large part by human infrastructures that enable the collection of large datasets. We study the movement of data through multiple stages of data ...

Most prior work on human-AI interaction is set in communities that indicate skepticism towards AI, but we know less about contexts where AI is viewed as aspirational. We investigated the perceptions around AI systems by drawing upon 32 interviews and ...

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, Editor

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, Editor

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 ...

Conventional algorithmic fairness is West-centric, as seen in its subgroups, 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 algorithmic ...

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, Editor

Guided by a human-centered design focus on users' needs, Computer-Supported Collaborative Work (CSCW) research and practice have increasingly explored how to address the multiple inequities affecting historically marginalized groups. A growing body of ...

The future of work is speculated to undergo profound change with increased automation. Predictable jobs are projected to face high susceptibility to technological developments. Many economies in Global South are built around outsourcing and manual labour,...

South Asia faces one of the largest gender gaps online globally, and online safety is one of the main barriers to gender-equitable Internet access [GSMA, 2015]. To better understand the gendered risks and coping practices online in South Asia, we ...

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 underserved ...

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 underserved ...

Women in South Asian own fewer personal devices like laptops and phones than women elsewhere in the world. Further, cultural expectations dictate that they should share mobile phones with family members and that their digital activities be open to ...

In India, women represent 45% of total computer science enrollment in universities, almost three times the rate in the United States, where it is 17%. At the same time, women make up an estimated 25-30% of the HCI community in India, half the rate in ...

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 underserved ...