AI, Antiquities, and Administration: The Unfinished Decolonisation of Indian Archaeology

In the latest volume to address the historiography of Indian archaeology since the year of independence, the authors devote considerable space to the lingering imprint of colonial epistemologies upon the Archaeological Survey of India, an institution whose statutory mandate is paradoxically both guardianship of antiquities and instrument of a state apparatus often criticised for its sluggish reformist tempo.

The tome foregrounds the tenure of Amalananda Ghosh, whose directorship in the late twentieth century is portrayed as a rare episode of scholarly vigor intersecting with administrative resolve, thereby offering a brief illustration of how individual agency might temporarily surmount entrenched bureaucratic inertia within the Survey.

Nevertheless, the authors contend that the broader institutional narrative remains dominated by a chronic deficit in systematic training programmes, an inadequate pipeline for the professional development of field archaeologists, and a recruitment regime that frequently favours seniority over demonstrable competence, thereby perpetuating a cycle of under‑utilisation of scholarly talent across the nation’s diverse archaeological sites.

In a conspicuously optimistic annex, the publication cites recent governmental pronouncements regarding the deployment of language‑based artificial intelligence systems to assist in cataloguing excavation reports and epigraphic corpora, yet the same official communiqués provide scant evidence of allocated budgets, dedicated technical personnel, or a coherent data‑governance framework capable of integrating such digital tools within the Survey’s entrenched archival practices.

Consequently, observers within the heritage sector have begun to question whether the proclaimed technological renaissance constitutes a substantive policy shift or merely a rhetorical veneer designed to veil the enduring neglect of fundamental human resources, methodological rigor, and transparent accountability that have historically plagued the Survey’s operational ethos.

Given that the Archaeological Survey of India has long professed fidelity to the preservation of the nation’s material heritage whilst simultaneously averring a commitment to modernising its methodological toolkit, on what statutory or contractual basis does it justify the allocation of public funds toward proprietary language‑model platforms that are developed abroad and subject to foreign intellectual‑property regimes, thereby raising concerns of data sovereignty, without first tendering a transparent competitive process, and how might the resulting opacity be reconciled with the constitutional mandate for accountable expenditure of the treasury? Furthermore, in the absence of any demonstrable upskilling programme or guaranteed placement scheme for the numerous graduates of archaeology whose professional prospects remain precariously tethered to the Survey’s limited vacancies, how can the administration credibly defend its claim that the introduction of artificial intelligence, especially where algorithmic bias may distort interpretative frameworks of heritage narratives, will not exacerbate existing inequities, nor infringe upon the right of these scholars to equitable access to state‑supported occupational opportunities as enshrined in statutory employment protections?

In light of the absence of a publicly disclosed data‑ownership policy governing the digitised corpora generated by AI‑assisted epigraphic transcription, what legal mechanisms exist to ensure that the provenance and custodial rights of endangered inscriptions remain with the State rather than being inadvertently transferred to private technology vendors under the guise of cloud‑based processing services with no explicit provision for auditability, retention, or compliance with the Information Technology Act, thereby potentially compromising the sanctity of nationally treasured epigraphic data? Moreover, should the Survey’s reliance on autonomous language models prove to yield erroneous attributions or mis‑dated artefacts, which judicial or administrative recourse is available to affected scholarly communities and the broader public to demand remedial correction, compensation, or a formal inquiry into the procedural safeguards—or lack thereof—embedded within the agency’s emerging digital workflow that currently operates under an ad‑hoc governance structure lacking parliamentary oversight, subjecting it to the whims of successive departmental heads?

Published: May 19, 2026