AI Fails to Deliver on Promise to Make Academic Publishing More Accessible, Says LSE Impact
bias inference
| Source: Mastodon | Original article
AI fails to democratize academic publishing due to structural bias. Evidence contradicts initial promises.
The promise of AI democratizing academic publishing has fallen short, according to recent evidence. As noted in a recent LSE Impact article, AI tools can improve the surface of a manuscript but cannot address the structural biases that exist in the publishing process. This means that who wrote the manuscript, where they are from, and how reviewers respond to those factors remain unchanged.
This matters because it was thought that generative AI would give multilingual and under-resourced researchers a fair shot in academic publishing. However, the evidence suggests that AI has not leveled the playing field as expected. The issue lies in the fact that AI tools are not designed to address structural bias, which is a deeper problem that requires more than just linguistic improvements.
What to watch next is how the academic publishing community responds to this reality. Will there be a push for new disclosure rules, changes in reviewer behavior, or other initiatives to address the structural biases that AI cannot fix? As researchers and publishers grapple with these questions, it remains to be seen whether AI can still play a role in making academic publishing more inclusive and equitable.
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