Hoel expresses concern over this trend, highlighting the ethical ambiguity of AI use in scientific research. He points out that while some AI-generated content can be easily identified as fraudulent, such as a medical journal paper featuring a cartoon rat with exaggerated features, other instances are more subtle and potentially harmful, such as a mislabeled and hallucinated regulatory pathway in a peer-reviewed paper. The author suggests that this increasing reliance on AI could be detrimental to the integrity of scientific research.
Key takeaways:
- The culture and institutions are being affected by the increasing amount of synthetic A.I.-generated outputs.
- Following the release of GPT-4, one of the most advanced artificial intelligence models, the language of scientific research began to change, especially within the field of A.I.
- Significant numbers of researchers at A.I. conferences were found to be using A.I. to assist in their peer review of others' work.
- The ethical line between scam and regular usage of A.I. is unclear, with some A.I.-generated scams being easy to identify, while others are more insidious.