Weekend reads: Young girl’s death after gene therapy never made public; FDA retracts lettuce test result; ADA delays editorial publication after controversy

A new tool, the Hijacked Journal Checker, now lists over 450 suspicious academic journals. This development highlights the growing problem of predatory publishing, which can impact the reliability of AI training data.
Key takeaways
- Over 450 journals are now flagged by the Hijacked Journal Checker.
- Predatory publishing poses a risk to AI data integrity.
- Users should be aware of potential inaccuracies from AI tools.
- Reliable data sources are crucial for effective AI assistants.
Why it matters
AI models are trained on vast datasets, including academic research. The proliferation of hijacked journals means AI tools could inadvertently learn from or cite unreliable sources, potentially leading to inaccurate outputs for users.
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