Responsible AI Principles for Generative AI


Studio B

With Generative AI emerging as a foundational building block for AI-first products, we have lots of best practices, tools, and design patterns to develop as an industry. In this context, Isabel will delve into the importance of ethical, legal, and operational considerations when designing and implementing Generative AI systems, and provide insights into how we can ensure that they are developed and used in a responsible and sustainable manner. By the end of the talk, attendees will have a deeper understanding of the challenges and opportunities presented by Generative AI systems, and the importance of responsible AI principles in their design and deployment.


Isabel Bär

Responsible AI

Isabel did her Master’s degree in Data Engineering at the Hasso Plattner Institute, focusing particularly on the role of data quality for ML models. During her time at INNOQ, she has worked on topics around the long-term successful use of AI software, which include MLOps and Responsible AI.

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