AI can generate course content in minutes, but it can also produce confident nonsense, biased visuals, and nonexistent citations. We close out our mini-series with Dr. Dwayne Wood by zooming out on how quickly AI has evolved from basic text chatbots to multimodal tools that draft e-learning, images, and more, and why that speed raises the stakes for educators and instructional designers.

We break ethics down into four practical areas of concern you can use in your workflow: accuracy, privacy, intellectual property, and accountability. Dwayne shares real examples of how AI can hallucinate sources (even producing fake DOIs), distort nuance when summarizing, and quietly reinforce stereotypes depending on training data and the way prompts are written. We also dig into copyright and fair use in course development, including why “just upload the PDF” can turn into a compliance problem for you, your school, or your client.

From there, we get tactical about balancing efficiency with quality. We talk about using AI for low-risk first drafts, matching your review effort to the risk level, and keeping a human in the loop through SME validation and QA. We also cover transparency and attribution, why it matters even when AI is only used for grammar, and how disclosure changes the trust and review process. The biggest takeaway is a simple ethical stop sign: if no accountable human can explain, verify, or defend the AI-generated content, do not publish it.

If you found this helpful, subscribe, share it with a colleague, and leave a review so more instructional designers can use AI responsibly without losing the human responsibility at the heart of learning design.

📢 Call-to-Action: To continue learning from Dr. Dwayne Wood, visit the links in the show notes and connect with him online. And as you move forward with AI-supported content creation, remember to pause, review, and lead with ethics, transparency, and care for your learners.

📖 Additional Resource: You can also visit National University to learn more about its programs and resources for adult learners, working professionals, and military-connected students.

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AI can write a quiz question in seconds, but it cannot tell you what your learners truly need or what’s ethical, accessible, and aligned. That’s the tension Jackie's unpacking as we continue the series Future Ready Learning: Designing Education for What Comes Next. If generative AI feels exciting and overwhelming at the same time, you’re not alone, and you’re not doing it wrong. The goal is not to ban AI or hand over the design process, but to use it with intention while keeping human judgment in the lead.

In this episode, Jackie walks through what changes when AI shifts from an occasional tool to a daily workflow partner for instructional designers, educators, and learning leaders. We talk about why “polished” output can still be wrong, misaligned to learning objectives, or a poor fit for your audience. Then, Jackie shares a practical design shift: move from AI as a content generator to AI as a co-design partner. That means using AI to explore options, challenge drafts, identify gaps, simplify language, and strengthen practice, not to make final decisions for you.

Subscribe for the rest of the series, share this with a colleague who’s navigating AI in education, and leave a review so more designers can find it.

🔗 Episode Links

Please check out the resource mentioned in the episode. Enjoy!

Future-Ready Design Brief: AI as Your Co-Designer

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💟 Designing with Love + allows you to support the show by keeping the mic on and the ideas flowing. Click on the link above to provide your support.

☕ Buy Me a Coffee is another way you can support the show, either as a one-time gift or through a monthly subscription.

🗣️ Want to be a guest on Designing with Love? Send Jackie Pelegrin a message on PodMatch, here: Be a guest on the show

🌐 Check out the show's website here: Designing with Love

📱 Send a text to the show by clicking the Send Jackie a Text link above.

👍🏼 Please make sure to like and share this episode with others. Here's to great learning!

AI can make you faster, but it can also make you lazy. That tension sits at the center of Jackie's conversation with Dr. Dwayne Wood as we bring together the big ideas from our mini-series and get practical about using generative AI for innovative instructional design.

We dig into rapid prototyping as one of the clearest wins: using AI to generate multiple starting points for activities, scenarios, and assessments so we can iterate quickly with stakeholders who are still figuring out what they want. Dwayne also shares why the first attempts often take longer, and how the payoff comes when you build prompt templates, create simple “assistants,” and set tight parameters for output format and length. If you have ever lost an hour to prompting with nothing to show for it, this will feel familiar.

From there we zoom out to the full instructional design process. We talk about using AI to analyze de-identified survey data and quiz results, identify themes, and spot learning pain points. We explore branching scenarios and personalized learning experiences that respond to learner decisions, plus “Socratic engine” scaffolding that asks questions instead of handing over answers. We also get honest about risks: hallucinations, over-trust, data privacy, and the need for guardrails in authoring tools and LMS chat features so AI augments learning outcomes rather than eroding domain knowledge.

If you want a simple experiment, we end with a concrete activity you can try this week using one objective from a course you already know. Subscribe for part five, share this with a designer friend, and leave a review so more educators can find the show.

📢 Call-to-Action: Ready to experiment with AI in your own instructional design workflow? Visit the links in the show notes to connect with Dr. Dwayne Wood, learn more about his work, and choose one small AI-supported design task to try this week.

📖 Additional Resource: You can also visit National University to learn more about its programs and resources for adult learners, working professionals, and military-connected students.

Send Jackie a Text

Support the show

💟 Designing with Love + allows you to support the show by keeping the mic on and the ideas flowing. Click on the link above to provide your support.

☕ Buy Me a Coffee is another way you can support the show, either as a one-time gift or through a monthly subscription.

🗣️ Want to be a guest on Designing with Love? Send Jackie Pelegrin a message on PodMatch, here: Be a guest on the show

🌐 Check out the show's website here: Designing with Love

📱 Send a text to the show by clicking the Send Jackie a Text link above.

👍🏼 Please make sure to like and share this episode with others. Here's to great learning!