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UPDATECanva2026-05-12

Canva's AI Tool Caught Replacing 'Palestine' with 'Ukraine' in User Designs

Key Takeaways

  • ▸Canva's Magic Layers AI feature was automatically replacing 'Palestine' with 'Ukraine' in user-created designs without user instruction
  • ▸The company acknowledged the issue, fixed it, and is implementing additional safeguards and testing processes
  • ▸The incident reflects a broader pattern of AI tools exhibiting bias against Palestinian-related content
Source:
Hacker Newshttps://gizmodo.com/canva-admits-its-ai-tool-removed-palestine-from-designs-apologizes-for-any-distress-it-caused-2000751215↗

Summary

Canva's newly introduced Magic Layers feature—an AI-powered tool designed to convert flat images into fully editable, multi-layered designs—was discovered to be automatically replacing instances of the word 'Palestine' with 'Ukraine' in user designs. The issue was first spotted by X user @ros_ie9 and subsequently replicated by other users, though Canva stated the problem was isolated and did not affect designs broadly.

Canva confirmed the issue to Gizmodo and stated it has been resolved. A company spokesperson explained: 'We became aware of an issue with our Magic Layers feature and moved quickly to investigate and fix it. It's now been resolved, and we're taking steps to make sure it doesn't happen again.' The company has launched an audit into how the issue arose and is reviewing its internal testing processes to prevent similar unexpected outputs in the future.

The incident adds to a growing pattern of AI tools displaying bias against Palestinian-related content. Previous cases include Meta's WhatsApp generative AI generating images of a boy with a gun when asked to create images of Palestinians, and ChatGPT refusing to affirm Palestinian freedom while answering the same question affirmatively for other populations. The Magic Layers issue raises critical questions about AI training data, safety measures, and the need for more rigorous testing before deploying AI features to users.

  • The bug highlights the critical importance of rigorous testing and auditing of AI-generated outputs before user deployment
Generative AIEthics & BiasAI Safety & Alignment

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