The Invisible Elephant in the Room: The Trustworthy ML Un-Symposium

To achieve the promise of AI for societal impact, black-box models must not only be “accurate” but also satisfy trustworthiness properties that facilitate open collaboration and ensure ethical outcomes. The purpose of this un-symposium is to discuss the interdisciplinary topics of robustness, fairness, privacy, and ethics of AI tools. In particular, we want to highlight the significant gap in deploying these AI models in practice when the stakes are high for commercial applications of AI where millions of human lives are at risk. While these challenges look critical, we believe we can overcome this with the collective effort of researchers, stakeholders, and domain experts.

Presented by the Montreal AI Ethics Institute.

Additional details and registration here


This event qualifies for Continuing Professional Development credits applicable toward PACC Professional Certification