The Stanford Institute for Human-Centered Artificial Intelligence (HAI) and the ETH Zürich AI Center invite you to attend the Data-Centric AI Virtual Workshop on November 17-18, 2021. The workshop will present new areas of research and discussion that are relevant to the development of data-centric AI. Separately, several new data-centric benchmarks will be released that we hope will allow the research community to systematically investigate an interesting set of problems in dataset curation and model evaluation.
This event will be held virtually and is free to register. Sessions hosted by HAI are from 9:00am-11:00am (Pacific Time) on November 17th and 18th, and the session hosted by ETH Zürich AI Center is from 1:00pm-6:00pm (Central European Time) on November 18th. Please see the "Agenda" tab for more details.
What is Data-Centric AI?
Creating the appropriate training and evaluation data is often the biggest challenge in developing AI in practice. This workshop will explore challenges and opportunities across the data-for-AI pipeline. We will discuss recent advances in curating, cleaning, annotating and evaluating datasets for AI. We will also investigate questions that arise from data regulations, privacy and ethics. The goal of the workshop is to help build an intellectual foundation for the emerging and critically important discipline of data-centric AI.
