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Responsible AI: Challenges and Emerging Practices - Keynote

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Responsible AI Courses Artificial Intelligence Courses Fairness Courses Loss Functions Courses Ethics in AI Courses Model Interpretability Courses Adversarial Attacks Courses

Course Description

Overview

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Explore the critical challenges and emerging practices in Responsible AI through this keynote address delivered by Ron Bodkin, VP of AI Engineering and CIO at Vector Institute. Delve into the promises and potential pitfalls of AI advancements, examining issues such as unintended user and societal harm, unfair bias, surveillance, and adversarial attacks. Gain insights into the collaborative efforts between the Vector Institute and the Schwartz Reisman Institute for Technology and Society in advancing Responsible AI. Discover emerging research and practices addressing unintended consequences, model interpretability, fairness, and engineering objectives (loss functions). Learn how responsibility in AI is becoming increasingly crucial to meet stakeholder expectations as the field continues to evolve.

Syllabus

Afternoon Keynote: Responsible AI


Taught by

Toronto Machine Learning Series (TMLS)

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