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Animal protocol review is a lengthy process. We describe a repeatable approach using Generative Artificial Intelligence to improve the quality and speed of Institutional Animal Care and Use Committee reviews, while considering issues of ethics, bias, robustness and trustworthiness. We implemented our system for 11 different common errors and found every actual problem (100% recall) in the animal protocols with 80–100% precision.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
