Seven evidence based reasons to avoid using AI for writing
Latest news on WhatsApp أجدد الأخبار على واتسابWidespread adoption of generative AI has made writing faster, but credible sources highlight recurring risks that can justify avoiding AI (or limiting it) in many contexts:
- Accuracy and hallucinations: studies show models can fabricate facts and references, and this is particularly risky in high stakes domains.
- Bias: research surveys and global reports document that LLM outputs can perpetuate social and gender bias.
- Confidentiality: major publishing guidance warns against uploading sensitive or confidential material into AI tools.
- Copyright and ownership uncertainty: the U.S. Copyright Office emphasizes human authorship requirements and limits around AI generated content.
- Accountability and disclosure: publication ethics guidance says AI tools cannot be listed as authors and requires transparent disclosure.
- Security risks: OWASP lists prompt injection and sensitive information disclosure among top risks for LLM apps.
- Brand voice: AI text can sound generic, weakening editorial identity and reader trust.
