Policymakers have established that the ability to contest decisions made by or with algorithms is core to responsible artificial intelligence (AI). However, there has been a disconnect between research on contestability of algorithms, and what the situated practice of contestation looks like in contexts across the world, especially amongst communities on the margins. We address this gap through a qualitative study of follow-up and contestation in accessing public services for land ownership in rural India and affordable housing in the urban United States. We find there are significant barriers to exercising rights and contesting decisions, which intermediaries like NGO workers or lawyers work with communities to address. We draw on the notion of accompaniment in global health to highlight the open-ended work required to support people in navigating violent social systems. We discuss the implications of our findings for key aspects of contestability, including building capacity for contestation, human review, and the role of explanations. We also discuss how sociotechnical systems of algorithmic decision-making can embody accompaniment by taking on a higher burden of preventing denials and enabling contestation.

We present a cross-cultural diary study with 64 transgender (trans) and non-binary adults in Mexico, the U.S., and India, to understand experiences keeping track of and managing aspects of personal health and well-being. Based on a reflexive thematic analysis of diary data, we highlight sociotechnical interactions that shape how trans and non-binary people track and manage aspects of their health and well-being. Specifically, we surface the ways in which trans and non-binary people infrastructure forms of care, by assembling together elements of informal social ecologies, formalized knowledge sources, and self-reflective media. We examine the forms of precarity that interact with care infrastructure and shape management of health and well-being, including management of gender identity transitions. We discuss the ways in which our findings extend knowledge at the intersection of technology and marginalized health needs, and conclude by arguing for the importance of a research agenda to move toward TGNB-inclusive design.

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 interviews with AI developers building for low-resource contexts, we find that developers reduced field workers to data collectors. Attributing poor data quality to worker practices, developers conceived of workers as corrupt, lazy, non-compliant, and as datasets themselves, pursuing surveillance and gamification to discipline workers to collect better quality data. Even though models sought to emulate the expertise of field workers, AI developers treated workers as non-essential and deskilled their expertise in service of building machine intelligence. We make the case for why field workers should be recognised as domain experts and re-imagine domain expertise as an essential partnership for AI development.

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 poor particularly in global south. In this paper, we examine the datafication experiences of sanitation and domestic workers, marginalized by caste, gender, and income, in India that goes beyond a welfare program setting. We report from interviews with 25 workers and 7 community leaders. Contrary to the modernist narratives around data and development, we find that data-driven systems invisibly inherited discriminatory properties from past institutions. These datafication processes are refracted through lack of access to supporting infrastructure, intentional opacity, and automated oppressive institutional norms.

This article uses findings from a field study of the world's largest guaranteed employment scheme (NREGA) in India to understand how digital technology mediates work relations and power dynamics within a bureaucracy. In this initiative, upper-level bureaucrats in the south Indian state of Andhra Pradesh built a digital network to remove local discretion at the "last mile" of an implementation of NREGA. I show how digital infrastructure affords actors at both the first and last mile opportunities to modify software to control as well as subvert certain practices. This article refers to this dialectic phenomenon as "governance by patching" and defines it as a socio-technical instantiation of a top-down process that focuses on small changes, iterative, and political process for positive change. Governance by patching is, therefore, neither a purely technical process nor an exclusively administrative one. Rather, it refers to the ability to fix unanticipated problems that arise in the implementation of governance programs by altering the socio-technical systems. The struggle for power continues, but on the new digital terrain.

To what extent can information technology be used to eliminate government corruption? In this paper, I examine an ambitious experiment by a South Indian state in the use of Information and Communication Technologies (ICT) within a bureaucracy to reduce corruption. In this initiative, the senior bureaucrats built a digital network to remotely control the implementation of a public rural employment scheme. Focusing on the technology-based implementation for this paper, I show that centralization of implementation that the technology enabled could significantly overcome the endemic corruption that tends to happen in the local "last mile" of such schemes. I also find how technology designed for control can be subverted at the local level. My work suggests that the future of such government programs lies in incrementally resolving the conflicting forces and interests involved and that the move towards technical is as much a political project.

Digital green is a research project that seeks to disseminate targeted agricultural information to small and marginal farmers in India using digital video. The unique components of digital green are (1) a participatory process for content production, (2) a locally generated digital video database, (3) human-mediated instruction for dissemination and training, and (4) regimented sequencing to initiate a new community. Unlike some systems that expect information or communication technology alone to deliver useful knowledge to marginal farmers, digital green works with existing, people-based extension systems and aims to amplify their effectiveness. While video provides a point of focus, it is people and social dynamics that ultimately make digital green work. Local social networks are tapped to connect farmers with experts; the thrill of appearing "on TV" motivates farmers; and homophily is exploited to minimize the distance between teacher and learner. In a four-month trial involving 16 villages (1070 households), digital green was seen to increase adoption of certain agriculture practices by a factor of six to seven times over classical person-only agriculture extension. The hardware investment was a TV and a DVD-player per village, and one digital camera and PC shared among all 16 villages. These results are very preliminary, but promising.

In this paper, we present what we believe to be the first documented experiment to replace an existing PC-based system that had goals of "bridging the digital divide" for an agricultural district with a mobile-phone-based system in which a small, but relevant amount of data is transferred to farmers via SMS text messaging. Implemented in rural Maharashtra, Warana Unwired sought to replace an existing PC-based system for managing information in a sugarcane cooperative with an SMS-based mobile-phone system. In an eight-month trial involving seven villages, Warana Unwired successfully replicated all of the PC-based functionality, and was found to be less expensive, more convenient, and more popular with farmers than the previous PC-based system. This paper discusses the early investigations of the Warana Wired Village Project that led to the conception and implementation of the Warana Unwired project. The new system is described in detail, and results, both quantitative and qualitative are analyzed.

Rural PC kiosks have become prominent recently as a way to impact socio-economic development through computing technology. Despite the significant backing these projects receive from governments and other large organizations, there are very few rigorous studies which measure their actual impact and utility. We have developed and deployed a software PC logging tool that allows us to gain exact quantitative insight into the usage statistics of kiosks on which the tool is installed. In field trials in Maharashtra and Uttar Pradesh, India, we collected over 120 days of software tool logging data from 13 separate kiosks, while we also questioned the kiosk operators during the same period. We show some evidence that the software based logging tool complements the existing survey based and other ethnographic approaches for data collection. We also show that the tool does a better job in gathering certain usage statistics as compared to questioning the kiosk operator