Presentation
Bridging the Data Gaps to Democratize AI R&D
DescriptionAI needs data to learn and make decisions. Building and using AI requires access to massive amounts of data and computing power. Consequently, democratizing the AI R&D ecosystem requires democratizing access to AI-ready data and the ability to process this data. However, fair, open, and equitable access to these resources remains challenging. This session will discuss the many dimensions of democratizing data. It will then introduce key related efforts and facilitate an open discussion about how these and other efforts can come together as part of an open data ecosystem that ensures all researchers can participate in AI R&D.
Session Leader