Name
From Models to Morals: Operationalizing Trustworthy AI
Description
As AI systems become integral to decision-making across industries, ensuring their reliability, transparency, and fairness is no longer optional—it's essential. This 30-minute session explores how MLOps practices and frameworks can serve as the foundation for operationalizing Trustworthy AI. By bridging the gap between machine learning development and responsible deployment MLOps pipelines can support ethical and robust AI systems at scale.
Speakers
Sneha Das - Assistant Professor - DTU Compute
Nicki Skafte Detlefsen - Associate Professor - DTU Compute
Nicki Skafte Detlefsen - Associate Professor - DTU Compute
Date & Time
Wednesday, November 5, 2025, 3:30 PM - 4:00 PM
Theater
Theater 4
DTS Tracks 2025
AI & Emerging Technologies
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