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.
This session has ended
We’re sorry—the video you’re looking for isn’t available on-demand.
Mehrnoosh Sameki
Principal Product Lead
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.
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.
Alex Sutton
Product Manager
Alex works on AI security, safety, and governance product strategy for the Azure AI platform.