Researchers propose treating AI interactions in scientific research as inspectable components through the AI-RO paradigm, focusing on structured documentation and controlled disclosure rather than debating AI's role as an author. This approach is crucial for ensuring security and privacy constraints are met, especially by implementing a workflow that generates verifiable provenance records, paving the way for more accountable use of generative AI in scientific studies.
Read the full article at arXiv cs.AI (Artificial Intelligence)
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