This post has been republished via RSS; it originally appeared at: Microsoft Tech Community - Latest Blogs - .
AI is transforming the world in many ways, but it also comes with many challenges and risks. How can we ensure that our AI systems are safe, reliable, and ethical? How can we debug and mitigate issues such as biases, errors, and unfairness? How can we communicate the impact and limitations of our AI solutions to our stakeholders and customers?
If you are a technical student who wants to learn how to build trustworthy AI systems, you should check out this upcoming series of events hosted by Microsoft Reactor: Building trustworthy AI systems with Responsible AI Toolbox.
This series will introduce you to the Responsible AI Toolbox, a suite of tools and functionalities that help you operationalize responsible AI in practice. You will learn how to use various tools to identify, diagnose, and mitigate issues associated with your AI models. You will also learn how to create visual executable flows that link language models, vector embeddings, prompts, and Python tools. Moreover, you will learn how to use the Responsible AI Dashboard, a single pane of glass that brings together several mature Responsible AI tools for a holistic responsible assessment and debugging of models and making informed business decisions.
The series consists of two events, each lasting one hour:
- Azure ML prompt flow on Thursday, March 7, 2024 at 3:30 PM UTC
- Responsible AI dashboard on Wednesday, March 13, 2024 at 3:30 PM UTC
The events will be livestreamed and delivered in English. The speakers are Ruth Yakubu, Principal Cloud Advocate at Microsoft, and Vinayak Hegde, CTO-in-Residence at Microsoft for Startups.
To register for this series, you need to sign in with your Microsoft Account or enter your email address here. By registering, you agree to abide by the Microsoft Reactor Code of Conduct.
Don’t miss this opportunity to gain a strategic advantage by minimizing risks associated with your AI services, earning the trust of investors, B2B customers, and end users. This series will equip you to address regulatory compliance concerns and showcase responsible AI practices crucial for success in the evolving AI landscape.
Learn more about responsible AI principles and practices:
Embrace responsible AI principles and practices - Training | Microsoft Learn
Skill up on Responsible AI Developer Hub | Responsible AI Developer Hub