Rise of Responsible MLOps

Explore the critical topic of responsible MLOps in this 33-minute conference talk from the Toronto Machine Learning Series (TMLS). Join Natalia Burina, AI Product Leader at Facebook, as she delves into the ubiquitous nature of AI and its impact on complex decision-making processes. Examine the potential risks and user harms associated with AI implementation, including discrimination, polarization, and privacy violations. Discover the tech industry's responsibility in building fair, transparent, private, and robust AI systems. Gain insights into the latest industry-wide developments and understand the importance of implementing responsible MLOps practices. Learn how AI teams can contribute to ethical AI development and mitigate potential negative consequences in areas such as credit approvals, college admissions, and courtroom bail decisions.

Rise of Responsible MLOps