Responsible AI: from principles to practice

We need to develop and use AI in ways that benefit everyone and warrant people’s trust. In this interactive session, I will give you an insight into how Responsible AI is infused into Microsoft processes to enable technical roles to deliver AI solutions whilst adhering to RAI principles. The session will provide an overview of the RAI principles and then explain what this means for software engineering and data science practices and what practical steps you can take to implement responsible AI solutions. I will also share real-world industry-relevant examples which highlight the inherent risks of AI systems along with practices adopted by Microsoft engineering. Please note, this session will refer to both open source and Azure AI services.

1. Understand the Responsible AI framework 2. Understand the processes and tools available to support your RAI journey. 3. Understand both principles and practical application of RAI in software development and data science.