Welcome to the Artificial Intelligence Podcast with Jonathan Green! In this episode, we dive into the intriguing dynamics of business self-destruction and the AI hype cycle with our distinguished guest, Lawrence Mandelberg. Lawrence, an expert in organizational growth and sustainability, shares valuable insights on why some businesses unwittingly set themselves up for failure and how to navigate the complex landscape of change management. Lawrence discusses the common pitfalls businesses enco…

From the environmental costs of data centers to the cultural biases baked into today’s models, Paul Roetzer and Cathy McPhillips answer your questions from our 50th Intro to AI class. Throughout the episode, they unpack the gray areas of AI-generated content, debate what the rise of agents means for work, and consider how creatives can stay ahead with AI. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:05:13 — Question #1: Which environmental concern feels most urgent for the AI industry to solve? 00:07:58 — Question #2: How well do AI models reflect diverse languages and cultures? 00:10:25 — Question #3: What risks and ownership issues come with AI-generated video and images in marketing? 00:15:26 — Question #4: What are the best ways to start experimenting with AI agents? 00:18:22 — Question #5: Is there value in using multiple AI platforms to cross-check results? 00:22:06 — Question #6: How should businesses weigh built-in AI assistants versus standalone tools like…

Leon Furze argues that the real tension with AI and writing isn’t “death of writing” but purpose. When schools prize the product over the process, generative AI flattens the whole writing cycle, letting students jump from “I need a piece” straight to publication. That shortcut may be fine for functional emails or content farms, but in education the process is the learning; flatten it, and you flatten learning too.

Memory, Scientific Research, Meta Glasses, Grammarly, AI Addiction, Nana Banana

AboutJustin ReichBooksBooks – IterateBooks – Failure to DisruptResourcesPodcastFilmPractice SpacesCoursewareCOVID ResearchNewsletterEventsAboutJustin ReichBooksBooks – IterateBooks – Failure to DisruptResourcesPodcastFilmPractice SpacesCoursewareCOVID ResearchNewsletterEventsAboutJustin ReichBooksBooks – IterateBooks – Failure to DisruptResourcesPodcastFilmPractice SpacesCoursewareCOVID ResearchNewsletterEventsAboutJustin ReichBooksBooks – IterateBooks – Failure to DisruptResourcesPodcastFilmPractice SpacesCoursewareCOVID ResearchNewsletterEvents A Guide to AI in Schools: Perspectives for the Perplexedby educators and for educators Most new technologies, like […]

Explore how AI is reshaping higher education as faculty navigate ethics, pedagogy, and student engagement—offering practical strategies for integrating AI in the classroom with purpose and clarity.

In this episode, Eli Davis talks with Zach Kinzler, an AI educator and advocate. They discuss Kinzler’s background, his work in integrating AI into education, and his experiences working with students globally, including in Africa. Kinzler shares insights into AI trends, misconceptions, and the importance of AI literacy. Additionally, the episode touches on the Smarter Campus Podcast, Bootle Box, and practical tips for those in engineering looking to leverage AI. We’re thrilled to be sponsored by IXL. IXL’s comprehensive teaching and learning platform for math, language arts, science, and social studies is accelerating achievement in 95 of the top 100 U.S. school districts. Loved by teachers and backed by independent research from Johns Hopkins University, IXL can help you do the following and more:Simplify and streamline technologySave teachers’ timeReliably meet Tier 1 standardsImprove student performance on state assessments🚀 Ready to see why leading districts trust IXL for their educational needs? Visit…

Tricia Bertram Gallant, coauthor of The Opposite of Cheating: Teaching for Integrity in the Age of AI, joins us to discuss questions about academic dish...

Earlier this summer, I recorded an episode of the Scaling Laws podcast with MacKenzie Price, founder of Alpha Schools—schools “where kids crush academics in two hours, build life skills through workshops, and thrive beyond the classroom.” The secret is AI, but likely not the sort of AI that comes to...

Many commercial actors in the tech sector publish ethics guidelines as a means to ‘wash away’ concerns raised about their policies. For some academics, this phenomenon is reason to replace ethics with other tools and methods in an attempt to make sure that the tech sector does not cross any moral Rubicons. Others warn against the tendency to reduce a criticism of ‘ethics washing’ into one of ethics simpliciter. In this essay, I argue firstly that the dominant focus on principles, dilemmas, and theory in conventional ethical theories and practices could be an explanation of it lacking resistance to abuse by dominant actors, and hence its rather disappointing capacity to stop, redirect, or at least slow down big tech’s course. Secondly, drawing from research on casuistry and political philosopher Raymond Geuss, this essay will make a case for a question, rather than theory or principle-based ethical data practice. The emphasis of this approach is placed on the acquisition of a thorough understanding of a social-political phenomenon like tech development. This approach should be replenished with one extra component to the picture of the repoliticized data ethics drawn so far: the importance of ‘exemplars,’ or stories. Precisely the fact that one should acquire an in-depth understanding of the problem in practice will also allow one to look in the past, present, or future for similar and comparable stories from which one can learn.