Bart and James learn about Testing AIs

105-minute Workshop

Advanced session

Timetable

10:45 a.m.-12:30 p.m.

Tuesday 14th

Room

Room D3+D4 - Track 7: Workshops

Audience

Testers, test managers, coders

Required

Laptop

Key-Learning

- Focussed and supported experience in training and testing an AI

- What aspects make AI hard to test

- How to approach the testing of AI

Hands-on, closed box: Discover what's inside for you, and how we coped.

Train and test an AI – and see how we learned!

The purpose of this interactive conference workshop is to provide participants with hands-on experience training and testing an AI model. This workshop is designed for individuals with little to no prior knowledge of AI and machine learning, but who are interested in learning about the basics of how these technologies work.

During the workshop, participants will be guided through the process of training a simple AI model using a popular machine learning framework. They will learn how to input data and adjust model hyperparameters in order to improve the model's performance. After the model has been trained, participants will have the opportunity to test it on a variety of sample data and evaluate its accuracy. They will also be introduced to common metrics for evaluating the performance of machine learning models, such as precision, recall, and F1 score.

Throughout the workshop, there will be ample opportunity for participants to ask questions and engage with the facilitators and other participants. By the end of the workshop, participants will have a better understanding of the basics of AI and machine learning, and will have gained practical experience working with a trained AI model.