Profile picture of Mehrnoosh Sameki

Mehrnoosh Sameki

Principal Product Lead -
Microsoft

As a Product Lead at Microsoft, I oversee initiatives in responsible Artificial Intelligence and evaluation tools, focusing on quality, safety, interpretability, fairness, reliability, and governance of AI systems within Azure AI platforms and Open Source. Currently, I lead the Generative AI Evaluation area and tools within Azure AI Studio. I have co-founded several AI ethics open-source tools, including Fairlearn, Error Analysis, and Responsible-AI-Toolbox, and I am also a contributor to the InterpretML offering. I am honored to be recognized in the 2024 Brilliant Women in AI Ethics (womeninaiethics.org/the-list/of-2024).

Beyond my primary role, I work as a curriculum developer and lecturer with "Break Through Tech," actively driving underrepresented women toward fulfilling careers in data science.

I earned a Ph.D. in Computer Science from Boston University and have served as an Adjunct Assistant Professor since 2020.

Sessions Presenting

Explore AI Reports in Azure AI Foundry

Session Ended
Theater
In Chicago Only
Wednesday, November 20
5:30 PM - 5:45 PM Greenwich Mean Time
THR505
Improve cross-functional collaboration and governance when developing and deploying GenAI applications with the AI governance dashboard in Azure AI Foundry. We'll demo how developers can capture and push key details about their AI application to a centralized inventory, where governance, risk and compliance pros can review project details and provide feedback before deployment or audit applications in production.
Wednesday, November 20
11:00 PM - 11:45 PM Greenwich Mean Time
BRK113
New challenges and threats are emerging as AI evolves. Learn how Azure AI’s advanced responsible AI tooling, including Azure AI Content Safety and built-in safety tools in Azure AI Foundry like evaluations and monitoring, can help mitigate these risks. This session covers responsible AI tooling announcements from Azure and will equip you with essential strategies and tools for deploying responsible AI applications.