Advanced International Journal for Research
E-ISSN: 3048-7641
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Volume 7 Issue 2
March-April 2026
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Robotic Process Automation in Electoral Administration in India: Governance and Ethical Considerations
| Author(s) | Md Anis Akhtar |
|---|---|
| Country | India |
| Abstract | Data management on a large scale, verification processes that are stipulated by rules and compliance requirements that are time-dependent have increasingly become the mark of electoral administration. With the growth in complexity of electoral processes, there is an increase in administrative pressure on the election officials and it is raising concerns about efficiency, accuracy, and transparency in the process. Robotic Process Automation (RPA), a technology that automates repetitive and rule-based online tasks, provides possible ways of streamlining electoral processes without necessarily involving significant system redesign. In this paper, discusses the implementation of RPA in the electoral administration in terms of governance and ethics. It evaluates how automation can be applicable in voter registration, scrutiny of nomination of the candidate, delegation of poll workers, polling-day reporting, and tabulation of the results. Although RPA has the potential to decrease compliance costs, increase consistency, and boost auditability, it also creates issues of governance over the problem of algorithmic authority, diffusion of accountability, data security, and transparency. The paper, based on the perspectives of the organizational theory, administrative burden theory, and information governance, claims that automation must be used as a supportive mechanism integrated into the visible oversight systems. Instead of substituting human judgment, RPA should exist under hybrid governance systems that do not eliminate statutory responsibility and democratic authority. The research is added to the emerging literature on the digital electoral governance by harmonizing the efficiency of operations and ethical considerations in elections with institutional trust. |
| Field | Sociology > Politics |
| Published In | Volume 7, Issue 1, January-February 2026 |
| Published On | 2026-02-27 |
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E-ISSN 3048-7641
CrossRef DOI is assigned to each research paper published in our journal.
AIJFR DOI prefix is
10.63363/aijfr
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