b.I.A.s is 2D RPG-style, dialogue-driven game with a pedagological undercurrent written in Kaboom.js

The player assumes the role of a student in a school set in a fictional English village. There's an opening for a science teaching position which needs to be filled. The player is tasked to accompany an AI called K.A.T.E. whose purpose is to suggest the best possible candidate for the job. K.A.T.E. needs to gather information from current teachers and the headmaster to make her suggestion. Will the player agree with her final decision?

This game aims to raise awareness in a young audience about basic notions surrounding biases in Artificial Intelligence.

Controlos: space bar to interact + arrows to move on the map

Design, programming: Sophie Brown and Tessa Cattaneo

Dialogues, sound effects: Sophie Brown

Art: Tessa Cattaneo

This project was developed as part of the course "Jeu vidéo 2D" (Spring 2022) taught by Prof. Isaac Pante (SLI, Lettres, UNIL)

French version:

https://t-cat.itch.io/bias-fr

Source code and development context available here:

https://github.com/s-abrown/2DVideoGame

More information