Datafication, Surveillance and Inclusion: A critical analysis of digital platforms and their role in India.

Inclusion within information systems and ICT4D research is primarily invoked as a positive benefit on the human actors involved. Set in this context, this thesis conceptualises inclusion under the growing presence of digital platforms as complex newfound participation afforded to socioeconomically marginalised individuals. The thesis employs two overlapping theoretical lenses of ‘liquid surveillance’ (Bauman & Lyon 2013) and ‘abnormal justice’ (Fraser 2008). Firstly, the metaphor of liquidity in this thesis deconstructs surveillance as a mesh of multiple visibilities within digital platforms. Secondly, a social justice framing positions the impact of the surveillant visibilities on marginalised individuals as an intersectional outcome of inclusion performed across cultural, economic and political dimensions.The empirical context involves studying India's governmentally mandated digital identity platform (Aadhaar), situated within the constellation of digital ‘gig-work’ platforms that are becoming prevalent sites of employment. The data presented forms a qualitative case study of the experience of three groups of gig-workers, namely domestic workers, cab-drivers and food-delivery workers, forming a total of 60 interviews. This is supported by ethnographic field observations and auto-ethnographic research, working as gig-worker in south India. The thesis is in an ‘alternative format’ with three constituent papers presenting interrelated perspectives of digital platforms and their wider ecosystem. The first paper studies the use of Aadhaar by domestic workers and cab-drivers (Krishna 2021) and operationalises ‘abnormal justice’ as a framework to theorise cultural, economic and political dimensions of justice as being synergistic with elements of surveillance and datafication inherent to digital identification. The second paper details the practices of datafication and surveillance within the food-delivery platform (Krishna 2020). It finds that in the performance of gig-work, (in)justice is experienced spatiotemporally by workers within their daily work practices. The third paper (Krishna n.d.) uses a lens of ‘liquid surveillance’ to conceptualise the concomitant roles of platforms in enacting surveillance and enabling inclusion. Within platform ecosystems, a ‘liquid inclusion’ is exposed to be dictated by episodic tasks of self-surveillance rather than being an absolute positive benefit of participating in the digital economy. The thesis bridges a gap in literature within information systems and ICT4D by juxtaposing surveillance and inclusion. It adds to the emerging literature on ‘data justice‘ in operationalising justice under platform ecosystems and specific practices of gig-work environments.Research PapersThere are two published papers within this thesis, with the third paper being finalised for submission. Krishna, S. (2020). Spatiotemporal (In) justice in Digital Platforms: An Analysis of Food-Delivery Platforms in South India. Proceedings of IFIP Joint Working Conference on the Future of Digital Work: The Challenge of Inequality (pp. 132-147). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-64697-4_11 Krishna, S. (2021). Digital identity, datafication and social justice: understanding Aadhaar use among informal workers in south India. Information Technology for Development, 27(1), 67-90. https://www.tandfonline.com/doi/full/10.1080/02681102.2020.1818544 Krishna, S. (n.d.). Liquid Inclusion: The dynamics of inclusion under datafication and surveillance. In Preparation

Tracing Biometric Assemblages in India’s Surveillance State: Reproducing Colonial Logics, Reifying Caste Purity, and Quelling Dissent Through Aadhaar

Tracing Biometric Assemblages in India’s Surveillance State seeks to understand the historical conditions that rendered the nation-state of India as having the world’s largest biometric surveillance system: Aadhaar. Surveillance practices used by the British Raj mirrors the current social order of the ruling Bharatiya Janata Party (BJP), as they use surveillance to similar ends in today’s political economy, through the intersecting forces of neoliberalism and ethnonationalism. This thesis is an exploration into how India’s current surveillance regimes cultivate biometric surveillant assemblages through Aadhaar. Contrary to claims that Aadhaar was created to empower the poor, I argue that these surveillance regimes are actually fundamentally oppressive. On one hand, Aadhaar champions biopolitical control used to uphold caste purity, control and coerce marginalized bodies, and anticipate, suppress, and punish dissent against the Indian nation-state. On the other hand, Aadhaar is also used as a means to achieve necropolitical control over those who fail to assimilate into the system and become disposable to the nation-state. These processes are informed by values of Brahmanical hegemony, capitalism, Hindu supremacy, and patriarchy. In order to move towards a praxis of anti-surveillance, we must make political demands for dominationless societies where care, solidarity, and trust substitute surveillance

Suspect Development Systems: Databasing Marginality and Enforcing Discipline

Algorithmic accountability law—focused on the regulation of data-driven systems like artificial intelligence (AI) or automated decision-making (ADM) tools—is the subject of lively policy debates, heated advocacy, and mainstream media attention. Concerns have moved beyond data protection and individual due process to encompass a broader range of group-level harms such as discrimination and modes of democratic participation. While a welcome and long overdue shift, the current discourse ignores systems like databases, which are viewed as technically “rudimentary” and often siloed from regulatory scrutiny and public attention. Additionally, burgeoning regulatory proposals like algorithmic impact assessments are not structured to surface important –yet often overlooked –social, organizational, and political economy contexts that are critical to evaluating the practical functions and outcomes of technological systems. This Article presents a new categorical lens and analytical framework that aims to address and overcome these limitations. “Suspect Development Systems” (SDS) refers to: (1) information technologies used by government and private actors, (2) to manage vague or often immeasurable social risk based on presumed or real social conditions (e.g. violence, corruption, substance abuse), (3) that subject targeted individuals or groups to greater suspicion, differential treatment, and more punitive and exclusionary outcomes. This framework includes some of the most recent and egregious examples of data-driven tools (such as predictive policing or risk assessments), but critically, it is also inclusive of a broader range of database systems that are currently at the margins of technology policy discourse. By examining the use of various criminal intelligence databases in India, the United Kingdom, and the United States, we developed a framework of five categories of features (technical, legal, political economy, organizational, and social) that together and separately influence how these technologies function in practice, the ways they are used, and the outcomes they produce. We then apply this analytical framework to welfare system databases, universal or ID number databases, and citizenship databases to demonstrate the value of this framework in both identifying and evaluating emergent or under-examined technologies in other sensitive social domains. Suspect Development Systems is an intervention in legal scholarship and practice, as it provides a much-needed definitional and analytical framework for understanding an ever-evolving ecosystem of technologies embedded and employed in modern governance. Our analysis also helps redirect attention toward important yet often under-examined contexts, conditions, and consequences that are pertinent to the development of meaningful legislative or regulatory interventions in the field of algorithmic accountability. The cross-jurisdictional evidence put forth across this Article illuminates the value of examining commonalities between the Global North and South to inform our understanding of how seemingly disparate technologies and contexts are in fact coaxial, which is the basis for building more global solidarity

Protecting Privacy in Indian Schools: Regulating AI-based Technologies' Design, Development and Deployment

Education is one of the priority areas for the Indian government, where Artificial Intelligence (AI) technologies are touted to bring digital transformation. Several Indian states have also started deploying facial recognition-enabled CCTV cameras, emotion recognition technologies, fingerprint scanners, and Radio frequency identification tags in their schools to provide personalised recommendations, ensure student security, and predict the drop-out rate of students but also provide 360-degree information of a student. Further, Integrating Aadhaar (digital identity card that works on biometric data) across AI technologies and learning and management systems (LMS) renders schools a ‘panopticon’. Certain technologies or systems like Aadhaar, CCTV cameras, GPS Systems, RFID tags, and learning management systems are used primarily for continuous data collection, storage, and retention purposes. Though they cannot be termed AI technologies per se, they are fundamental for designing and developing AI systems like facial, fingerprint, and emotion recognition technologies. The large amount of student data collected speedily through the former technologies is used to create an algorithm for the latter-stated AI systems. Once algorithms are processed using machine learning (ML) techniques, they learn correlations between multiple datasets predicting each student’s identity, decisions, grades, learning growth, tendency to drop out, and other behavioural characteristics. Such autonomous and repetitive collection, processing, storage, and retention of student data without effective data protection legislation endangers student privacy. The algorithmic predictions by AI technologies are an avatar of the data fed into the system. An AI technology is as good as the person collecting the data, processing it for a relevant and valuable output, and regularly evaluating the inputs going inside an AI model. An AI model can produce inaccurate predictions if the person overlooks any relevant data. However, the state, school administrations and parents’ belief in AI technologies as a panacea to student security and educational development overlooks the context in which ‘data practices’ are conducted. A right to privacy in an AI age is inextricably connected to data practices where data gets ‘cooked’. Thus, data protection legislation operating without understanding and regulating such data practices will remain ineffective in safeguarding privacy. The thesis undergoes interdisciplinary research that enables a better understanding of the interplay of data practices of AI technologies with social practices of an Indian school, which the present Indian data protection legislation overlooks, endangering students’ privacy from designing and developing to deploying stages of an AI model. The thesis recommends the Indian legislature frame better legislation equipped for the AI/ML age and the Indian judiciary on evaluating the legality and reasonability of designing, developing, and deploying such technologies in schools

The construction of mental health as a technological problem in India

This paper points to an underexplored relationship of reinforcement between processes of quantification and digitization in the construction of mental health as amenable to technological intervention, in India. Increasingly, technology is used to collect mental health data, to diagnose mental health problems, and as a route of mental health intervention and clinical management. At the same time, mental health has become recognized as a new public health priority in India, and within national and global public health agendas. We explore two sites of the technological problematisation of mental health in India: a large-scale survey calculating prevalence, and a smartphone app to manage stress. We show how digital technology is deployed both to frame a ‘need’ for, and to implement, mental health interventions. We then trace the epistemologies and colonial histories of ‘psy’ technologies, which question assumptions of digital empowerment and of top-down ‘western’ imposition. Our findings show that in India such technologies work both to discipline and liberate users. The paper aims to encourage global debate inclusive of those positioned inside and outside of the ‘black box’ of mental health technology and data production, and to contribute to shaping a future research agenda that analyzes quantification and digitization as key drivers in global advocacy to make mental health count

India’s “Aadhaar” Biometric ID: Structure, Security, and Vulnerabilities

India\u27s Aadhaar is the largest biometric identity system in history, designed to help deliver subsidies, benefits, and services to India\u27s 1.4 billion residents. The Unique Identification Authority of India (UIDAI) is responsible for providing each resident (not each citizen) with a distinct identity - a 12-digit Aadhaar number - using their biometric and demographic details. We provide the first comprehensive description of the Aadhaar infrastructure, collating information across thousands of pages of public documents and releases, as well as direct discussions with Aadhaar developers. Critically, we describe the first known cryptographic issue within the system, and discuss how a workaround prevents it from being exploitable at scale. Further, we categorize and rate various security and privacy limitations and the corresponding threat actors, examine the legitimacy of alleged security breaches, and discuss improvements and mitigation strategies

Nullius

Nullius is an anthropological account of the troubled status of ownership in India and its consequences for our understanding of sovereignty and social relations. Though property rights and ownership are said to be a cornerstone of modern law, in the Indian case they are often a spectral presence. Kapila offers a detailed study of paradigms where proprietary relations have been erased, denied, misappropriated. The book examines three forms of negation, where the Indian state de facto adopted doctrines of terra nullius (in the erasure of indigenous title), res nullius (in acquiring museum objects), and, controversially, corpus nullius (in denying citizens ownership of their bodies under biometrics). The result is a pathbreaking reconnection of questions of property, exchange, dispossession, law, and sovereignty

A Comprehensive Survey on Data Utility and Privacy: Taking Indian Healthcare System as a Potential Case Study

The authors would like to thank the anonymous reviewers and editors who have been involved in examining this manuscript.Background: According to the renowned and Oscar award-winning American actor and film director Marlon Brando, “privacy is not something that I am merely entitled to, it is an absolute prerequisite.” Privacy threats and data breaches occur daily, and countries are mitigating the consequences caused by privacy and data breaches. The Indian healthcare industry is one of the largest and rapidly developing industry. Overall, healthcare management is changing from disease-centric into patient-centric systems. Healthcare data analysis also plays a crucial role in healthcare management, and the privacy of patient records must receive equal attention. Purpose: This paper mainly presents the utility and privacy factors of the Indian healthcare data and discusses the utility aspect and privacy problems concerning Indian healthcare systems. It defines policies that reform Indian healthcare systems. The case study of the NITI Aayog report is presented to explain how reformation occurs in Indian healthcare systems. Findings: It is found that there have been numerous research studies conducted on Indian healthcare data across all dimensions; however, privacy problems in healthcare, specifically in India, are caused by prevalent complacency, culture, politics, budget limitations, large population, and existing infrastructures. This paper reviews the Indian healthcare system and the applications that drive it. Additionally, the paper also maps that how privacy issues are happening in every healthcare sector in India. Originality/Value: To understand these factors and gain insights, understanding Indian healthcare systems first is crucial. To the best of our knowledge, we found no recent papers that thoroughly reviewed the Indian healthcare system and its privacy issues. The paper is original in terms of its overview of the healthcare system and privacy issues. Social Implications: Privacy has been the most ignored part of the Indian healthcare system. With India being a country with a population of 130 billion, much healthcare data are generated every day. The chances of data breaches and other privacy violations on such sensitive data cannot be avoided as they cause severe concerns for individuals. This paper segregates the healthcare system’s advances and lists the privacy that needs to be addressed first

Nullius

Nullius is an anthropological account of the troubled status of ownership in India and its consequences for our understanding of sovereignty and social relations. Though property rights and ownership are said to be a cornerstone of modern law, in the Indian case they are often a spectral presence. Kapila offers a detailed study of paradigms where proprietary relations have been erased, denied, misappropriated. The book examines three forms of negation, where the Indian state de facto adopted doctrines of terra nullius (in the erasure of indigenous title), res nullius (in acquiring museum objects), and, controversially, corpus nullius (in denying citizens ownership of their bodies under biometrics). The result is a pathbreaking reconnection of questions of property, exchange, dispossession, law, and sovereignty

Global Digital Cultures: Perspectives from South Asia

Digital media histories are part of a global network, and South Asia is a key nexus in shaping the trajectory of digital media in the twenty-first century. Digital platforms like Facebook, WhatsApp, and others are deeply embedded in the daily lives of millions of people around the world, shaping how people engage with others as kin, as citizens, and as consumers. Moving away from Anglo-American and strictly national frameworks, the essays in this book explore the intersections of local, national, regional, and global forces that shape contemporary digital culture(s) in regions like South Asia: the rise of digital and mobile media technologies, the ongoing transformation of established media industries, and emergent forms of digital media practice and use that are reconfiguring sociocultural, political, and economic terrains across the Indian subcontinent. From massive state-driven digital identity projects and YouTube censorship to Tinder and dating culture, from Twitter and primetime television to Facebook and political rumors, Global Digital Cultures focuses on enduring concerns of representation, identity, and power while grappling with algorithmic curation and data-driven processes of production, circulation, and consumption