This session is facilitated by devin dillon
About this session
Participants will a) make their own AI model that determines sentiment in text (they will choose tweets for model to make predictions about) b) then they will compare their model’s performance to another model trained with more data c) we will have a structured conversation about how AI models make decisions and how different datasets will enable models to perform differently - this can lead to conversations about data privacy, bias, etc - but we’ll see where people want to go
Goals of this session
Beginners and people new to AI will get experience making their own model and exploring how models make decisions. Participants will leave empowered to continue learning and exploring a subject that maybe was intimidating to them previously.