Scientific publications should be conducted by researchers who analyze and make judgments about phenomena on their own behalf. Artificial intelligence makes estimates based on ratings, after reviewing opinion statistics. This is what unqualified scientists and dilettante managers do.

Dear Tarig Eltoum Fadelelmoula

Hello

Yes, AI has the potential to significantly improve the quality of published research by enhancing data analysis, detecting errors or inconsistencies, streamlining literature reviews, and even suggesting novel hypotheses, but its effectiveness depends on proper implementation, ethical oversight, and human collaboration to avoid biases, misinformation, or over-reliance on automated systems.

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I think that is likely will do what all tools are known to do. In the hands of skilled people it will enhance the quality of work they output. In the hands of less skilled, or perhaps less attentive persons the quality of work with be reflective of such.

Hello,

I am Oshin, a master’s student at Imperial College London, studying Economics. Along with a couple of AI engineers, I am building a platform to help researchers innovate more effectively. Our MVP is ready and we are looking for the first users; completely FREE OF ANY COSTS (except for just a few minutes of you providing us feedback)

Features included in the MVP:

Smart Summaries delivers structured, context-aware research paper summaries, optimized for scientific clarity across text and visuals, unlike generic outputs by current AI tools.

Research Paper Recommendations & Literature Review Automation uses semantic search to find and rank relevant papers, then generates a preliminary literature review and detailed summaries to aid researchers in quickly identifying valuable work—without losing academic nuance.

Please let me know if you would be willing to give the product a shot.

Email: [email protected]