Human-AI Collaboration for Estimating Scientific Replicability

1. 1Build a dataset of published scientific findings with replicability labels
2. 2Train a machine learning model on the dataset to predict replicability
3. 3Configure a human-AI collaboration framework to combine human judgments with AI predictions
4. 4Test the framework on a holdout dataset to evaluate its performance
5. 5Apply the framework to new, unseen scientific findings to estimate their replicability

Data scientists and researchers on a team can benefit from this collaboration to increase the accuracy of replicability assessments, while AI engineers can develop and fine-tune the machine learning models

💡 Combining human judgment with machine learning models can increase the accuracy of replicability assessments

🤖💡 Human-AI collaboration can improve scientific replicability estimates #AI #Science