Graph-Anonymized Metrics and Impacts of Text-to-Image Generative AI

Trainee Talks is a monthly webinar series showcasing students in the NSERC CREATE SE4AI program sharing their graduate research in AI-based software systems.

In this month's talk, Queen's Master's student Akshat Malik will present his work on Empirical Evaluation of Graph-Anonymized Metrics for JIT Defect Prediction. Then, Concordia Master's student Sharon Ho will speak about The Impacts of Text-to-Image Generative AI on Creative Professionals: Insights from Japan.

Each student will present their work for 20 minutes, followed by a 10 minute Q&A session.

About NSERC CREATE SE4AI

NSERC CREATE SE4AI is a graduate training program based at Concordia University. Led by program director Emad Shihab and a team of Co-PI from Polytechnique Montreal, Queen's and University of Alberta, the program fills the major shortage in highly qualified personnel (HQP) that can develop, deploy and service AI-based software systems and provide a solid background on ethical and social understanding of AI.