Intersections
Intersections Research Podcast
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
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Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach

An AI-generated podcast by NotebookLM of this technical paper from Google about their LearnLM-Tutor and approach to generative AI tools more broadly in education spaces

This podcast episode is automatically generated by NotebookLM based on this May 2024 technical paper released by Google entitled, Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach.

You can download the article here.

Citation Information:

Jurenka, Irina, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, et al. “Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach.” arXiv, 2024. **https://doi.org/10.48550/ARXIV.2407.12687**.


About the Intersections Research Podcast

This podcast is designed to provide approachable and helpful summaries of relevant and interesting research at the intersections of the future of learning and work. All research that is shared on this podcast has been read in its entirety before the AI-generated podcast is created, and the entire episode has been vetted for accuracy before its release. This is an experimental approach to one of the emerging frontiers in the future of human learning. Please feel free to get in touch with questions, concerns, or research or topics you would like to see covered here.

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