#AAAI2022 invited talks – data-centric AI and robust deep learning

In this article, we summarise two of the invited talks from the AAAI Conference on Artificial Intelligence. We hear from Andrew Ng and Marta Kwiatkowska, who talked about data-centric AI and robust deep learning respectively. Andrew began with a definition of data-centric AI – "the discipline of systematically engineering the data used to build an AI system". AI systems tend to consist of two parts: data and code. The conventional approach for developing such systems, and one which many researchers take, is to download a dataset and then work on the code.