My Robot Teacher
My Robot Teacher
Podcast Description
What happens when AI crashes into the classroom?
When ChatGPT rolled out across the California State University (CSU) system, it sparked a wide range of faculty responses - from panic to full adoption. In My Robot Teacher, CSU professors Taiyo Inoue and Sarah Senk explore how generative AI is disrupting higher education, and what resistance, habituation, and adaptation really look like in real classrooms.
My Robot Teacher is a podcast about AI and higher education, hosted by public university professors, produced by editaudio, and sponsored by the California Learning Lab.
Podcast Insights
Content Themes
The podcast focuses on the impact of generative AI in higher education, exploring themes such as resistance to AI, pedagogical adaptation, and the evolving role of assignments. Episode examples include discussions on how large language models like ChatGPT are reshaping trust and teaching, as well as insights from faculty on AI's current implications for public universities.
What happens when AI crashes into the classroom?
When ChatGPT rolled out across the California State University (CSU) system, it sparked a wide range of faculty responses – from panic to full adoption. In My Robot Teacher, CSU professors Taiyo Inoue and Sarah Senk explore how generative AI is disrupting higher education, and what resistance, habituation, and adaptation really look like in real classrooms.
My Robot Teacher is a podcast about AI and higher education, hosted by public university professors, produced by editaudio, and sponsored by the California Learning Lab.
In this episode, we talk with Madison Van Doren (AI Research & Strategy Manager at Appen) about the limits of AI translation, what AI safety practices like red-teaming reveal about model guardrails, and why humans in the loop remain essential. Madison explains adversarial prompting, how different large language models reflect the norms and incentives of their builders, and why common translation benchmarks reward surface accuracy while missing cultural nuance. At stake is a larger question: if AI mirrors our words but not our meanings, how can we trust it to serve as a safe partner in education and communication?
We also explore big questions for educators and students:
What skills should humans still master in an AI-saturated world?
What tasks can responsibly be offloaded to machines?
How should we redefine digital literacy for the age of generative AI?
CHAPTERS
0:00-1:30 – Chapter 1 Cold Open: Testing AI’s Limits
1:31-6:54 – Chapter 2: The Trouble with Teaching Machines Language
6:55-15:26 – Chapter 3: Adversarial Prompting: Breaking Models on Purpose
15:27-16:37 – Chapter 4 [Bridge]: Norms in, Norms Out
16:38-28:05 – Chapter 5 – Translation vs Localization: How Benchmarks Can Mislead
28:06-35:19 – Chapter 6 – Humans in the Loop, New Literacies
35:20-39:04 – Chapter 7 – Closing Reflections: Endless Iteration, Evolving Language, and the Geopolitics of AI
My Robot Teacher is hosted by Sarah Senk and Taiyo Inoue, sponsored by the California Learning Lab, and produced by editaudio. Video Editing by Starline Hodge, Audio Editing by Megan Hayward, and our Production Manager is Kathleen Speckert.
📄 Full transcript: https://calearninglab.substack.com/p/my-robot-teacher-episode-5-transcript
🌐 More about the show: https://www.myrobotteacher.ai
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Tags/ Keywords: Large Language Models (LLMs), AI translation, AI localization, AI safety, Red-teaming AI, Adversarial prompting, Digital Literacy, AI in the classroom, Humans in the loop, AI misbehavior and guardrails, AI and cultural nuance, Teaching with ChatGPT, AI literacy for students and educators, Madison Van Doren, Appen, Linguistics, future of learning, human-centered AI, Sarah Senk, Taiyo Inoue, Cal Poly Maritime Academy, California Education Learning Lab, My Robot Teacher, editaudio
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