by Sara Elhawash In the expansive realm of generative AI, where innovation thrives, researchers examine inherent biases within technologies.  This issue was a focus of the Fairness – ChatGPT Workshop held

by Sara Elhawash In today’s data-driven world, organizations face the challenge of effectively utilizing data to advance their work. Through new research funding awarded to the Data Sciences Institute (DSI) by

by Sara Elhawash In the nuanced landscape of patient care, unlocking valuable insights is dependent on navigating the vast realms of data. However, what if the data is neither easily accessible

New professional certificates in Data Science and Machine Learning Software Foundations, launched by U of T’s Data Sciences Institute and powered by Upskill Canada, will prepare workers for success in these

by Sara Elhawash When purchasing foods, many consumers give food labels cursory scans, taking in information such as calorie levels or sodium content. Why is streamlining this process crucial from a

By Kate Baggott  “Causal inference is hard.”   That’s not a conclusion. It’s an observation Rahul G. Krishnan was brave enough to make at the Forging a Path: Causal Inference and Data