Algorithmic bias - In-person

This workshop will guide you through the first steps of understanding how to build machine learning models. No prior learning or background knowledge is necessary—students from all majors are encouraged to attend.  

Before getting into a hands-on exercise, we will present a brief introduction to AI and machine learning, as well as the notion of algorithmic bias: what it is, how it is introduced, and its repercussions.  

By the end of the workshop, you will have applied a technique for analyzing data according to gender to reveal the impact of biases in machine learning models. In other words, we will start building a sexist robot and learn how to spot its biases.  

If you’re interested, we encourage you to visit the Quick Things for Digital Knowledge on machine learning or artificial intelligence before the session (about 10-15 minutes of reading/viewing).   

Please note: Computers will be provided at the session. However, if you want to use your own laptop, please install the open-source software Weka and download the data before the workshop.  

Weka: https://www.cs.waikato.ac.nz/ml/weka/downloading.html  

Datasets: http://labs.library.concordia.ca/workshops/textmining/datasets.zip  

Facilitator: Francisco Berrizbeitia, Developer, Concordia University Library