Podcast
Intersections Research Podcast
Hosted by Michael Hanegan · EN
This podcast leverages the power of AI to make accessible content about academic and emerging research at the intersections of the future of learning and work. Episodes will be entirely generated by AI and listeners can access the underlying research via the show notes.
attheintersections.substack.com
attheintersections.substack.com
2episodes
Episodes
Newest firstAll episodes
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
Sep 13, 202400:11:04Tap to summarizeThis 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 PodcastThis 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.Intersections is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit attheintersections.substack.com
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Ideas Rise from Chaos: Information Structure and Creativity
Sep 12, 202400:09:14Tap to summarizeThis podcast episode is automatically generated by NotebookLM based on this 2017 peer-reviewed article from Organizational Behavior and Human Decision Processes entitled, Ideas Rise from Chaos: Information Structure and Creativity. You can download the article here.Citation Information:Kim, Yeun Joon, and Chen-Bo Zhong. “Ideas Rise from Chaos: Information Structure and Creativity.” Organizational Behavior and Human Decision Processes 138 (2017): 15–27. http://dx.doi.org/10.1016/j.obhdp.2016.10.001.About the Intersections Research PodcastThis 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. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit attheintersections.substack.com
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