Artificial Intelligence

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Examples of open research practices

Open Methods: “Microsoft Research [have] deployed software agents trained with natural language understanding capabilities to continuously scavenge the Web for research artifacts and, from them, extract up-to-date academic knowledge into a graph-based representation called Microsoft Academic Graph (MAG) (Sinha et al., 2015). As the records are from the entire web, MAG equalizes the discoverability of research materials made accessible by the incumbent publishers as well as by individual authors self-archiving at their own websites, potentially making policy initiatives to favour “Gold” over “Green” OA (e.g., Gibbs, 2013) less critical.” (https://doi.org/10.3389/fdata.2019.00026)

 

Resources

General Resources

Implications of openness in AI. https://www.nickbostrom.com/papers/openness.pdf

Open Methods

Open Data

Comprehensive list of machine learning datasets. https://www.telusinternational.com/insights/ai-data/article/the-50-best-free-datasets-for-machine-learning

Open Outputs

Preprint repository. https://arxiv.org/

This page is adapted and extended from: Farran, E. K., Silverstein, P., Ameen, A. A., Misheva, I., & Gilmore, C. (2020, December 15). Open Research: Examples of good practice, and resources across disciplines. https://doi.org/10.31219/osf.io/3r8hb