AI Companies Accused of Destroying Books; Call to Digitize Rare Collections

darccio· August 21, 2026 View original

Key takeaways

  • AI companies are reportedly damaging physical books during data collection.
  • There's an urgent call to digitize rare books for preservation.
  • Ethical data sourcing practices are crucial for AI development.
  • Collaboration between AI and cultural institutions is vital for heritage protection.

Who benefits

Cultural HeritageEducationAI ResearchPublishingArchiving

Summary

A concern has been raised that AI companies are causing damage to physical books during data acquisition processes, leading to an urgent call for the proactive scanning and digitization of rare books to preserve them.

A significant concern has emerged regarding the practices of some artificial intelligence companies, specifically their methods for acquiring data from physical books. Critics allege that these processes are leading to the destruction or damage of valuable physical texts, particularly rare and irreplaceable editions. This issue highlights a tension between the rapid advancement of AI models, which require vast datasets, and the preservation of cultural heritage. In response to these allegations, there is a growing appeal for immediate action to safeguard vulnerable collections. Advocates are urging institutions and individuals to prioritize the comprehensive scanning and digitization of rare books. The goal is to create digital archives that can serve as a permanent record, ensuring these unique cultural artifacts are preserved for future generations before potential damage from data extraction processes becomes irreversible.

Why it matters

Professionals in AI, data science, and cultural institutions must consider the ethical implications of data sourcing and prioritize responsible practices to prevent the loss of invaluable historical and cultural assets.

How to implement this in your domain

  1. 1Review data acquisition protocols within your organization to ensure ethical and non-destructive practices.
  2. 2Collaborate with libraries and archives to support digitization efforts for rare and vulnerable materials.
  3. 3Investigate alternative, non-invasive methods for digitizing physical documents for AI training.
  4. 4Advocate for industry standards and best practices in data collection that prioritize preservation.
  5. 5Educate teams on the importance of responsible data sourcing and its long-term impact.

Original post by darccio

"AI companies destroy physical books – let's scan rare books before it's too late"

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