Keywords: AI transparency, high performance data management, data replicability, cyberinfrastructure for science, scientific workflows
Dr. Plale has a long career studying issues of trust in the products of scientific research, and how that trust can be strengthened through technology. Her specific research and policy interests are in:
- AI research infrastructure
- AI accountability
- Open science and reproducibility
Research Areas:
- Data Science
- Intelligent Systems
- Artificial Intelligence
- High Performance Computing
- Parallel and Distributed Computing
Dr. Plale's research interest and expertise is in the areas of i) Smart and Connected Communities, ii) Open Science, and iii) Responsible AI in High Performance Computing (HPC). Communities serve their citizens through provisioning of basic services.
My research in open science is three-fold: a global data fabric for machine discovery of data is a massively distributed and disruptive system that relies on Persistent IDs (PIDs) for objects.
I am interested in AI safety (safety critical AI) and in AI trust broadly as it relates to trusted outcomes.
