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ABC News’s September 28, 2026 video focuses on Colby College president David Greene and the college’s effort to use artificial intelligence ethically and without cutting corners. The accessible ABC page does not include a transcript, so it confirms the segment’s subject but not Greene’s specific examples or arguments. Colby’s own materials offer context: its Davis Institute for Artificial Intelligence describes an interdisciplinary, human-centered approach, while the college’s published AI guidance cautions against using AI for decisions that require human judgment.
What the ABC News video establishes
ABC News describes the segment as a conversation about how Colby is harnessing AI ethically and without cutting corners. The page identifies Greene as Colby’s president and gives the publication date as September 28, 2026. It does not provide a transcript or a detailed account of his answers, so specific claims about what he said should not be inferred from the description alone. ABC News video description.
Colby Magazine separately quotes Greene saying the college had “undershot the moment” given how much AI is now present and needs to keep doing more. That is an institutional magazine’s interview, not a verified quotation from the ABC segment. Colby Magazine.
How Colby describes its approach to AI in education
Colby’s Davis Institute for Artificial Intelligence presents AI as an interdisciplinary, human-centered field. The institute says it works to help the campus community become more informed and critical users of AI, as well as builders of AI tools. Its site lists faculty resources and an eight-week interdisciplinary summer program held June 8–July 31, 2026. These are examples of Colby’s educational work; the ABC description does not establish that Greene discussed these particular programs in the video. Davis Institute for Artificial Intelligence.
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This approach treats AI education as more than teaching people to operate tools: it also involves understanding the technology, judging its use, and considering its effects across disciplines. That framing is consistent with the institute’s stated aims, rather than a measured claim about outcomes.
Where Colby draws a boundary around AI decisions
Colby’s 2025 AI guidance advises against using AI for decisions requiring human judgment. Its examples include admissions, hiring, grading, and employee evaluation. In practice, that distinction matters: AI may assist learning or inform a person’s work, but consequential decisions should not be delegated to a system where the guidance calls for human judgment. The document directs readers to campus offices for questions involving pedagogy, academic policy, data privacy, and legal considerations. Because the document is dated 2025, check Colby’s current guidance before treating it as active operational policy. Colby AI guidance.
Why faculty preparation is part of AI education
Faculty training is one way institutions can expand AI education without assuming that access to tools alone produces understanding. MIT News reported that its AI Educators Pilot brought 19 participants from seven institutions to a weeklong workshop on adapting AI and machine-learning teaching materials across disciplines. Participants paired technical concepts with discipline-specific applications and instructor collaboration. The count describes workshop participation; it does not measure effects on student learning. MIT News on the AI Educators Pilot.
MIT Schwarzman College of Computing dean Dan Huttenlocher said the broader goal was “to expand AI education to more students by investing in training for instructors.” Deputy dean of academics Asu Ozdaglar emphasized preparing students to be “critical thinkers about AI, not just users of the technology.” These comments describe MIT’s aims, not Greene’s remarks or Colby’s programs. MIT News.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to read the institutional examples
Colby’s institute, Colby’s guidance, and MIT’s pilot illustrate different parts of an institutional response, not a ranked comparison or proof that one model improves learning more than another.
- AI as a subject of study: Colby’s Davis Institute describes interdisciplinary learning and critical engagement with AI.
- AI in teaching practice: MIT’s pilot focused on helping instructors adapt teaching materials across disciplines.
- Human oversight: Colby’s guidance identifies decisions—such as grading—that should not be made using AI when they require human judgment.
The available sources do not establish a broad, measured effect of AI on education or learning outcomes. They support a narrower conclusion: institutions are developing ways to teach about AI, prepare instructors, and set boundaries around consequential decisions.
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