Interrogating the Future: An AI Confession
“The suspect knew too much about AI. Or maybe… she just knew how to answer the right questions.” Check out the recorded Pod Cast Here: Interrogating the future How It All Began It started as a simple reflection, ten questions about how AI is shaping my design work. But instead of writing a straight blog, I found myself drawn to something more atmospheric. Something that felt like the process itself, shadowy, uncertain, full of creative tension. So, I turned the reflection into a crime-show-style interrogation, complete with tape recorder hums, flickering lights, and a narrator whose voice demanded answers. The irony? Every part of the production was built with AI. The words, the sound, the visuals, even the interrogation room itself, were all digitally generated and then manually composed by me. Built by AI, Crafted by Hand I started by feeding the ten questions into ChatGPT, but instead of plain responses, I asked for a script. Together, we created a dialogue between a suspicious interrogator and me — a learning designer “accused” of collaborating with Artificial Intelligence. Then came the layers: Voice: generated using AI text-to-speech, giving each character a distinct tone and rhythm. Sound Effects: sourced and blended through AI-assisted sound libraries; tape clicks, fluorescent hums. Images: created with AI image generation and enhanced in Photoshop’s Generative Expand to build the noir interrogation room. Editing: every frame and cue assembled manually — timed to each pause, each flicker, each breath. It wasn’t just automation, it was orchestration. Why Noir? Noir has always been about truth hiding in plain sight. It’s smoky, suspicious, human. And that’s exactly how AI feels right now, part mystery, part revelation. The interrogation format gave me a way to ask the big questions: Is AI saving us time or stealing our craft? Can it really understand empathy, context, and culture? Or is it just pretending well enough to fool us — and our learners? The Real Interrogation Behind the theatrics, the project became a metaphor for the design process itself. Every day, learning designers interrogate ideas: “What’s the story here?” “What does the learner need?” “Is this real, or just noise?” AI doesn’t replace that questioning, it amplifies it. It’s like having an endless brainstorm partner who never sleeps, never stops suggesting, and occasionally hands you brilliance on a platter. The Craft of Collaboration What fascinated me most was the balance. AI built the assets — but I gave them shape. It’s a partnership that works best when humans stay in control of tone, meaning, and emotional truth. “AI gave me the pieces. But I had to make them make sense.” That’s the new creative muscle, knowing when to hand over, when to edit, and when to override. Lessons from the Interrogation Room By the end, I realised the project wasn’t about AI at all, it was about agency. The ability to stay curious, playful, and skeptical, even when technology feels all-knowing. If AI has a role in the future of learning design, it’s not to automate creativity, it’s to augment it. To make space for designers to ask better questions, faster. To amplify storytelling, not silence it. Final Word So yes, I built my own interrogation. I wrote the script with AI. I voiced it with AI. I scored, illustrated, and expanded it with AI. And then I did what no algorithm could: I stitched it all together with intuition, timing, and story sense. Because creativity isn’t about the tools you use. It’s about what you do with them.AI in E-Learning: Opportunities and Innovation in Instructional Design
Our new micro e-learning course dives into the top 3 questions shaping the future of AI in instructional design. Hear expert audio insights, explore real-world examples and discover practical ways to bring AI into your own projects. 👉 Click the link below to start learning and unlock new possibilities with AI: https://www.swiftelearningservices.com/ai-in-e-learning/Why I Am [Not] Afraid of AI
Hello! It's that time of year again, folks! You get to hear my dulcet tones for the annual "Podcast" Challenge... As I'm off to World of Learning this week, I don't have time to record responses to all ten of DavidAnderson's questions on the impact of AI on learning design. So I've focused on three areas where I think we need to challenge the slight 'bunker mentality' that has built up around AI. Although this isn't a standard 'media player', I thought it was still best to add a bespoke 'progress' bar, so you can see how long each track lasts, and include a 'skip' button. Pop by for a chat. I won't invite you in, if that's all the same. WHY I AM [NOT] AFRAID OF AI | EngageBrainTrain.com
An AI-Powered Knowledge Check in Storyline
I've been wrestling with this challenge for a while: How do we get learners to reflect without relying on quiz after quiz? How can we use open-ended questions to encourage deeper thought? I've long considered AI for this, but there were hurdles... How do you integrate it into an Articulate Storyline course without paying for tokens or setting up contracts? And how do you do it without leaking credentials in the course itself? Can it be done without having to modify code after exporting the course? I learned recently that Hugging Face Transformers provide a solution. You can now download an AI model to the learner's machine and run it locally in their browser. I've managed to get this running reliably in Storyline, and you don't have to modify the code after export! In the final slide of the demo, your goal is to recall as much as possible from the podcast/summary. The AI will then check your response and give you a percentage score based on what you remembered. Live demo & tutorial here: https://insertknowledge.com/building-an-ai-powered-knowledge-check-in-storyline/ If you want to learn how I recommend starting with the sentiment analysis because it's easier to get started. I've also provided a file to download in that tutorial if you want to reverse engineer it.A Career in Learning Design
This project started with a simple idea — what if you could follow one person's entire learning design career, step by step? "The ID Path” is a character-based experience that follows the fictional career journey of Olivia Wilson, a learning designer whose path begins as a Junior ID Assistant and evolves into a leadership role as a Chief Learning Strategist. The goal is to highlight not just career progression, but also how responsibilities and skills evolve along the way. About the project Viewers can explore five key roles from Olivia’s career using a timeline of circular photo icons. Each click opens a Polaroid-style pop-out layer where Olivia’s portrait is paired with a brief story and three key skills that define that stage. The character pop-out effect is used within each profile layer. Implementation The character and portraits were created using ChatGPT and AI image tools, simulating a consistent persona as she grows across decades. Layout, voiceover, and accent colors were designed to keep the interaction simple, warm, and story-driven. Try the demo Follow Olivia’s journey and explore how her roles shaped who she became. About Me Jayashree Ravi Curious about more e-learning innovations? Connect with me on LinkedIn to share ideas, discuss implementation techniques, or discuss instructional design challenges.
