Bannière

Librairie

Synthetic Data for Health Symposium

Présenté par

IVADO

En ligne

Activités de formation

AI algorithms and intelligent systems hold great promise in the health sector, such as decreasing the cost of supporting an aging population, discovering new therapeutic avenues for complex disease such as cancers, and better patient management. To support future advances in the Canadian healthcare system with data intelligent algorithms, barriers to data access and privacy must be addressed, and many scientists are turning toward generative models and synthetic datasets for innovative solutions.

This symposium is hosted by CIFAR in partnership with IVADO and Mila.

Activities

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Featured project

Pseudo-medicine and data science: impact study of learning algorithms in the propagation of misinformation in health field

Student member : Guillaume Jorandon

This project studies the consequences of artificial intelligence (AI) systems and data science on public discourse, as well as their usage by the new content providers on the Web. 
It will tackle the ethical aspects of learning algorithms and recommendation filters implemented by internet companies to select and present content to the user. Specifically, the project investigates the consequences of such algorithms on public health, especially in the propagation of medical misinformation and pseudo-medicine.

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