Within the IAEA Coordinated Research Project on AI for Fusion, this AI for Good Challenge aims to provide a platform for collaboratively explore the potential of ML in enabling predictive modelling for fusion energy systems. Fusion energy is produced when two light elements, i.e., hydrogen isotopes, combine to form a single heavier one, with the consequent release of energy. The scientific community is actively engaged in making fusion a commercially viable alternative energy source – scientists and engineers worldwide are collaborating to make this a reality. Through this Challenge, participants will use data from three distinct fusion devices called “tokamaks” (Alcator C-Mod, J-TEXT, and HL-2A) to develop a cross-machine disruption prediction model using ML, with strong generalization capabilities. Participants will acquire hands-on experience in AI/ML in areas relevant to fusion energy science and compete for prizes, recognition, and certificates.