Dr. André dos Santos is the Director of Curriculum at the Alberta Machine Intelligence Institute (Amii). With his experience and expertise in responsible AI, causality, and deep learning, he is a sought-after speaker and lecturer. His passion for educating people on Ethics in AI and mitigating risks with AI applications led him to develop and deliver workshops to businesses. Prior to joining Amii, André was a Postdoctoral Fellow at the University of Alberta, where he researched synthetic data generation in partneship with Scotiabank. He also served as a Lecturer in the Computer Science department at the University of Regina. André holds a Ph.D. and M.Sc. in Computer Science from the University of Regina and an Industrial Engineering degree from Brazil. When he's not busy educating and researching, he enjoys cartooning, playing ukulele, boudlering, and practicing Japanese jiu-jitsu.
Talks & Panels
Responsible AI Lightning Round
Artificial Intelligence
Artificial Intelligence (AI): Use And Future Impacts
AI Ethics in Practice: Strategies for Governance and Deployments
ChatGPT and Academic Ethics: Navigating the Implications of Language Models
IEEE Northern Canada Section Power Electronics Society Chapter
Synthetic Data Generation of Financial Transactions: A Privacy-Driven Roadmap for Unsupervised Learning
Synthetic Data Generation of Financial Transactions: A Privacy-Driven Roadmap for Unsupervised Learning
Thirty-fourth Canadian Conference on Artificial Intelligence
Causality Part I: Confounding
University of Alberta
Introduction to Bayesian Networks and Causality
University of Alberta
Publications
ChatENT: Augmented Large Language Models for Expert Knowledge Retrieval in Otolaryngology - Head and Neck Surgery | Pre-print | 2023 |
Upward Pass Semantics in Arithmetic Circuit Inference | Proceedings of the Thirty-six Canadian Conference on Artificial Intelligence (CANAI) | 2023 |
Evaluating ChatGPT-4 in Otolaryngology–Head and Neck Surgery Board Examination using the CVSA Model | Currently submitted to JMIR Medical Education | 2023 |
Optimizing Inference in Bayesian Networks: From Join Tree Propagation to Deep Learning | Thesis | 2020 |
Deep Convolutional Sum-Product Networks | Thirty-Third AAAI Conference on Artificial Intelligence (AAAI) | 2019 |
Efficient Examination of Soil Bacteria Using Probabilistic Graphical Models | Thirty-first International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems | 2018 |
Bayesian Network Inference with Simple Propagation | Twenty-ninth International Florida Artificial Intelligence Research Society Conference (FLAIRS) | 2016 |
Darwinian Networks | Twenty-eighth Canadian Conference on Artificial Intelligence (AI) | 2015 |
More |