Artificial Intelligence (AI) Video Collection
Two-hundred titles are organized into five themes and mapped to 25+ of the highest-enrollment intro courses in higher ed.
Talk to an Infobase expert about bringing the AI Video Collection to your institution.
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Most AI content has a shelf life measured in model releases.
A unit built around today’s agentic AI is out of date by the time the semester ends. A faculty member who spent a weekend building a lesson around the tool has to do it all over again next fall.
The AI Video Collection is built around a competency with a longer half-life: the ability to find, evaluate, and use information well, applied to an AI context. Inspired by an information literacy framework, the collection is designed to teach durable long-lasting skills in the application of AI use. A unit built around that skill, rather than the tool, keeps its value past this year’s headlines.
The AI literacy gap is wider than most institutions assume.
In a 2025 national survey on AI trust and knowledge, only 23% of respondents could correctly answer more than half of eight basic true-or-false questions about how AI works, and fewer than 1% got all eight right. Those with only a moderate knowledge of AI were the ones to trust its outputs most.
Faculty across disciplines are each working out their own answer to the question: how do you introduce AI best practices for responsible, ethical, and effective use?
A collection that spans across fields of study.
Videos are organized by discipline: healthcare, finance, criminal justice, marketing, and more. Each is mapped to 25+ high-enrollment intro courses, so faculty add include content into existing coursework.
Teach with content that outlasts the tool.
The collection centers on transferable frameworks and critical thinking rather than any specific tool or platform, so a unit built this fall still holds up next fall.
Build confidence with a dedicated faculty track.
A professional development strand covers assignment redesign, integrity policy, and teaching strategies built for 100- and 200-level courses. Content covers responsible AI use, when to trust an output, and how to cite it, giving faculty a starting point for policy conversations.
The best-prepared graduates will be the ones who can evaluate an output, spot its limits, and trust their own judgment when it counts. As industries and professions increasingly integrate AI into their workflows, these are skills employers will come to expect.
Half the collection has turned over. Titles that stopped landing with students are gone, replaced by 130+ new videos added between 2024 and 2026: a slate of Boston College originals commissioned specifically for this release, new TED talks addressing agentic AI and AI-driven job displacement, and career-specific content built for business, healthcare, and criminal justice programs. The five-theme structure is new too, designed to make the collection easy to assign directly against a syllabus.
Institutions evaluating AI literacy content will likely run into a few familiar names.
Digital Education Council, AI Literacy for All |
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A single four-hour course sold as a flat site license, positioned as foundational AI literacy for any discipline. There’s no course-by-course mapping, no discipline-specific application, and nothing built for the faculty who have to teach it. |
Choice/LibTech & Clarivate, AI Literacy Essentials |
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An eight-plus-module training series aimed at library staff rather than students or faculty in a classroom. Closest in spirit to Infobase’s audience, but it builds AI literacy in librarians, who then have to build their own curriculum-ready content for the people who actually need it. |
Kanopy / Alexander Street |
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The two dominant academic streaming platforms, each used by roughly 80% of academic libraries. Both carry massive general catalogs (Alexander Street’s Academic Video Online alone runs close to 80,000 titles) that may include scattered AI documentaries as a byproduct of a broad subscription. Neither maps content to specific courses or disciplines. |
Free & DIY (OER, YouTube) |
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Costs nothing, but comes with no vetting and no course alignment. It’s useful for one professor experimenting solo, but it gives a librarian or provost nothing to point to as an institutional answer. |
Digital Education Council, AI Literacy for All | Choice/LibTech & Clarivate, AI Literacy Essentials | Kanopy / Alexander Street | Free & DIY (OER, YouTube) |
|---|---|---|---|
A single four-hour course sold as a flat site license, positioned as foundational AI literacy for any discipline. There’s no course-by-course mapping, no discipline-specific application, and nothing built for the faculty who have to teach it. | An eight-plus-module training series aimed at library staff rather than students or faculty in a classroom. Closest in spirit to Infobase’s audience, but it builds AI literacy in librarians, who then have to build their own curriculum-ready content for the people who actually need it. | The two dominant academic streaming platforms, each used by roughly 80% of academic libraries. Both carry massive general catalogs (Alexander Street’s Academic Video Online alone runs close to 80,000 titles) that may include scattered AI documentaries as a byproduct of a broad subscription. Neither maps content to specific courses or disciplines. | Costs nothing, but comes with no vetting and no course alignment. It’s useful for one professor experimenting solo, but it gives a librarian or provost nothing to point to as an institutional answer. |
A single four-hour course sold as a flat site license, positioned as foundational AI literacy for any discipline. There's no course-by-course mapping, no discipline-specific application, and nothing built for the faculty who have to teach it.
An eight-plus-module training series aimed at library staff rather than students or faculty in a classroom. Closest in spirit to Infobase's audience, but it builds AI literacy in librarians, who then have to build their own curriculum-ready content for the people who actually need it.
The two dominant academic streaming platforms, each used by roughly 80% of academic libraries. Both carry massive general catalogs (Alexander Street's Academic Video Online alone runs close to 80,000 titles) that may include scattered AI documentaries as a byproduct of a broad subscription. Neither maps content to specific courses or disciplines.
Costs nothing, but comes with no vetting and no course alignment. It's useful for one professor experimenting solo, but it gives a librarian or provost nothing to point to as an institutional answer.
Faculty across disciplines are each working out their own answer to the question: how do you introduce AI best practices for responsible, ethical, and effective use?
The origins of AI, how generative systems actually work, and the literacy skills to evaluate and use them responsibly. A shared, non-technical starting point before coursework builds on it.
AI in the workflows students are heading into: diagnostic tools in healthcare, decision models in finance, generative platforms in marketing and design. Content is built discipline by discipline: a marketing student sees generative campaigns and brand voice, a nursing student sees diagnostics and patient care.
Bias, data privacy, intellectual property, and accountability, framed as questions a working professional keeps weighing throughout a career.
How AI is reshaping labor markets, institutions, and public policy. Context for a profession that keeps shifting beneath the students entering it.
Pedagogy and policy for faculty: assignment redesign, classroom discussion strategies, and academic integrity guidance for instructors who have to teach this material despite never receiving formal training for it.
Every title in the collection argues a specific point.
“Can AI make us more human?” and “How to stop AI from killing your critical thinking” make the case for keeping a person’s judgment in the loop. “I’ll probably lose my job to AI. Here’s why that’s OK” and “AI and the paradox of self-replacing workers” work through what a role looks like once AI takes over its mechanical parts.
Original video features Boston College Professors Sam Ransbotham, Chris Glass, and Aleksandar Tomic, commissioned specifically for this release. The rest of the collection draws from TED, Open to Debate, and other producers with a track record in the space, with a scheduled refresh each fall to keep titles current.
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Infobase builds every one of its products around a specific commitment: teaching patrons how to wisely find, evaluate, and produce information in ways that develop information literacy skills. Bloom’s Literature models what critical analysis looks like instead of offering shortcuts. InfoLaunch and InfoLaunch Elementary scaffold research skills deliberately by age, so a student’s first experience with a database builds directly toward research habits they’ll need later on.
That design choice is deliberate.
Available through Films On Demand and Classroom Video On Demand. Contact your Infobase representative for institution-specific pricing, consortium rates, and trial access, or complete the form above and an Infobase expert will follow up.
