As AI, particularly LLMs, advance, what unique value remains for human output? The ability to 'vibe'—to intuitively grasp or create—can get you through a music festival, but not through complex understanding. True comprehension requires dedicated effort. While LLMs can aid learning like literacy or the internet, they can't directly translate output into genuine understanding. Full video with Curt Jaimungal: https://lnkd.in/eYgYmANF A critical, often overlooked, risk is mistaking an LLM's generated output for one's own understanding. The ease with which eloquent text can be produced now challenges how we've historically assessed comprehension. Unlike a calculator, which doesn't claim to understand arithmetic, LLMs can create a deceptive illusion of understanding. Humanity's journey is marked by realizing tasks were pursued for unexpected reasons. The printing press revealed that memorization wasn't the sole vessel of wisdom; photography shifted our view of painting. Similarly, LLMs highlight that producing beautiful prose doesn't equate to internal comprehension. Therefore, create not for the sake of elegant output, which LLMs can readily provide, but for the arduous, essential process of cultivating genuine understanding—a uniquely human endeavor. #ArtificialIntelligence #Understanding #Learning #Humanity #CriticalThinking #ThoughtLeadership

In the visual arts, working with AI is placing greater emphasis on communication and information discernment alongside technical skill in any medium. AI systems respond to structure and language, and mirror the precision of the prompter. This shifts the role of the educator. While policies around AI in the classroom are still developing and vary widely across institutions, its presence is already shaping how students work and learn. In the visual arts classroom, students are learning to articulate what they are trying to do and bring it into material form. AI can bring that process into sharper focus. In articulating, navigating, and refining their ideas, students are actively participating in a framework I’m calling AARR: Articulate, Anticipate, Respond, and Refine. This also reframes research in the visual arts classroom. Many contemporary artists already work this way. By building their practices through inquiry, reference, and structure, their work attains conceptual embodiment. AI expands access to that mode of working. And that has implications far beyond AI - a real shift.

AI and Creativity Summer Intensive | New course for Fine Arts students How can artists work with AI without losing authorship, intention, or critical perspective? This new course invites students to explore generative AI as a creative collaborator—guided by human agency, ethics, and artistic judgment. Through hands-on experimentation, critique, and discussion, students will develop methods to integrate AI into their practice while addressing key issues such as bias, authorship, and copyright. Using a Human → AI → Human workflow, this course is designed for undergraduate students in Concordia’s Faculty of Fine Arts who have an active creative practice and want to critically integrate generative AI into their work. The course is open to students across disciplines including film, design, media arts, scenography, writing, and music. 📅 May 11 – June 1, 2026 🎓 3-credit studio course 👥 Limited to 20 students The course is led by Christian Beltrami, BFA 96, artist and AI practitioner. Registration is now open. Learn more: https://lnkd.in/gyzeg8gC Milieux Institute Applied AI Institute Université Concordia #AIAgency #AIHumanCreativeWorkflow #AICreativity #NewCourse #AIEthics

This is where China and other nations who have adapted AI in everyday life has a leg up on America. America should embrace AI and crypto.

AI should not replace thinking. It should strengthen it....! In my Grade 12 Physics class, I use AI to generate differentiated problem sets after analysing student assessment data. After a lesson on electromagnetic induction, students received tasks based on their learning gaps: 🔹 Concept reinforcement 🔹 Numerical challenges 🔹 Real-world application problems But here’s the key — they must explain their reasoning, not just submit answers. The impact? 📈 Clear conceptual growth 🧠 Stronger critical thinking 🎯 Greater student ownership At the middle school level, tools like Mentimeter make assessment transparent and participatory — every student voice visible in real time. AI isn’t the innovation. Designing learning intentionally with AI is. #AIinEducation #PhysicsTeaching #AssessmentForLearning #EducationalInnovation #FutureReady

AI is changing how we design, and our students are leading the way. Visit the College of Design engagement zone at Cats AI in Action TODAY at 10 a.m. -2 p.m. in the Gatton Student Center to see how AI tools are being used to generate ideas, analyze environments and optimize performance across disciplines. From experimental forms to new fabrication methods, you’ll also see student projects that prove AI isn’t about replacing creativity; it’s about amplifying it. 🎨⚡

‘We can be pioneers’: How art school creators are adapting to the age of #AI "At the Royal College of Art, the next generation of #artists and #designers are being trained not just to use new #technologies, but to decide and build the kind of #creative #future they want. What does AI mean for human creativity? How can artists and designers best harness AI’s potential – and should they even be doing so? These are the kind of questions the Royal College of Art (RCA) has been addressing for some time. Since its foundation in 1837, the college has continuously redefined #creativeeducation to embrace technological advances, from the motor car to the moving image." https://lnkd.in/eirTkRTw

Why Hands Still Matter in the Age of AI!!!!!! 🤖 ✍ With so much conversation about AI transforming industries, one question often comes to my mind as an art educator: Will students still learn by making with their hands? In my experience, hands-on creation does something technology cannot replace. When students, participants work with clay, ink, or spatial tools like a 3D pen, something shifts. Focus deepens. Minds slow down. Ideas start flowing naturally. Art becomes not just expression, but also a space for calm, reflection, and discovery. AI can certainly help generate ideas and visual possibilities. But creativity grows stronger when the mind, hand, and material work together. Perhaps the real opportunity before us is to help learners use AI without losing the joy of making. One of my most favourite quotes on Art is...... 💫 "Art is that in which the , HEAD, HEART & the HAND of the artist go together" Because sometimes the most powerful learning still begins with a simple line drawn by hand. Perhaps the real future of creativity lies not in choosing between technology and making, but in remembering that the most powerful ideas often begin with our hands. Do you Agree? #ArtEducation #DesignEducation #HandsOnLearning #MaterialExploration #AIandCreativity #StudioPedagogy #CreativeLearning

Prof. Moses Musinguzi, Principal, CEDAT, College of Engineering, Design, Art and Technology Makerere Unversity: The general consensus worldwide is that AI cannot simply be rejected. Instead, the question we must ask is how we can use AI in ways that are responsible, effective, and productive. As lecturers and teachers, we often give assignments to students. Today, a student can generate an answer using AI in less than a minute. But that is not ultimately what we want. Our goal is to impart knowledge, critical thinking, and practical skills to our students. Therefore, we are now exploring better ways of integrating AI into education while still maintaining our core objective: producing graduates who possess strong knowledge, meaningful skills, and the capacity to contribute to society.

Excited to share that my second paper has been accepted for publication at the INCOSE Symposium 2026! 🎉 This paper explores a different approach to Generative AI in Systems Engineering education- with implications for the broader field once Systems Engineers move into the workforce: instead of restricting AI use, Systems Engineering design should integrate AI as a required tool throughout the Systems Engineering Digital Thread. The goal is to position AI not as a replacement for human thinking, but as a force multiplier for creativity, rigor, and productivity. Our results showed an interesting adoption curve- students initially struggled with the breadth of available AI tools, especially for multimodal tasks like image and video generation. However, they ultimately produced high-fidelity deliverables that condensed weeks of traditional multi-person work into a single student’s workflow. A key takeaway: teaching “AI Skepticism” is essential so future engineers focus on validating meaning and correctness, not just syntax. The presentation format is still being determined, but I’m looking forward to sharing the work with the Systems Engineering community! #SystemsEngineering #INCOSE #AI #GenerativeAI #EngineeringEducation