Critically examine the tension between technological innovation and cultural/heritage preservation, using the recent controversy over destructive book-scanning by AI firms as a case study.

Innovation and preservation are usually complementary — digitisation normally saves heritage. The 2026 revelations that AI firms cut the spines off rare books to scan them for model training [1] show the two can collide, demanding calibrated judgment rather than blanket condemnation.

The controversy in brief

• AI companies bought rare and out-of-print books, cut the bindings, rapid-scanned the pages and discarded the remains [1].
• The driver is technical: internet text is saturated with AI-generated content, raising "model collapse" risk and making original human-written text scarce and valuable [1].
• US litigation drew a line — digitising legally purchased books was held fair use, while sourcing from pirate libraries was not, ending in a record settlement [1].

The case for the innovators

• The copies were lawfully acquired through commercial channels; ownership of a physical copy ordinarily includes the right to dispose of it [1].
• Digitisation itself democratises access: India's own Gyan Bharatam Mission (2024–31) digitises manuscripts precisely to widen public access [5].
• Frontier AI is a declared national priority — the IndiaAI Mission (₹10,372 crore) [4] and NITI Aayog's #AIforAll strategy [3] both rest on large, high-quality datasets.

Where it fails the preservation test

• Irreversibility: a rare edition's value lies in binding, marginalia and provenance — none of which a scan captures.
• Opacity: the practice surfaced through litigation and journalism, not voluntary disclosure [1], defeating corporate accountability.
• Regulatory gap: copyright protects the author's economic interest, not the artefact; fair dealing under Section 52, Copyright Act, 1957 [2] never contemplated machine-scale ingestion.

The conflict is real but not irreconcilable: the harm lies less in digitisation than in destruction and secrecy. Mandating non-destructive scanning for rare works, deposit of originals with public libraries, and disclosure of training-data provenance — backed by an updated fair-dealing regime [2] and DPDP-style accountability [6] — would let India pursue #AIforAll [3] while treating books as heritage to be preserved, not consumed.