Welcome to Part 2 of AI Skills for Engineers: Data Creation and Collection!

The focus of Part 2 is the use of Crowdsourcing for building and debugging AI.

We first discuss the importance of human input in the context of Artificial Intelligence.

Then, considering the large amount of labeled data usually required to build AI models, we zoom into Active Learning: a mechanism that can reduce worker effort.

Finally, we conclude by showcasing recent progress on the topic of interpreting, evaluating, and debugging ML models and pipelines with the help of crowds.

Like Part 1, throughout Part 2, there are interesting readings and additional videos to help you out during the learning experience.