How to Build AI Capability in L&D: A Human-Centered Approach

#ai #elearning #synthesia #nanobannana From Strategy to Action: Building AI Capability in Learning & Development As Learning & Development professionals, we all know that a strong AI strategy is only the beginning. The real transformation happens when we empower people to use AI responsibly, creatively, and confidently. I recently read Tiffany Vojnovski’s article A Human-Centered Framework for AI in L&D, Part 2: Programmatic Enablement, which resonated deeply with the work we’re doing to align AI innovation with human-centered learning. Two key takeaways stood out to me: 1. AI Skill & Competency Programs Most professionals recognize AI’s impact but don’t feel prepared to use it effectively. True readiness means more than knowing how to use a tool—it’s about shifting mindsets and building confidence. Training should focus on: • AI Fundamentals & Responsible Innovation (ethics, bias, and data security) • Practical AI for Productivity (prompt engineering and collaboration) • Strategic AI Integration (helping leaders align innovation with culture and outcomes) 2. Intelligent L&D Content & Program Design With demands growing and resources shrinking, AI can help us produce personalized, high-quality learning experiences faster. When used thoughtfully, it becomes a creative partner—helping design, curate, and scale learning—while people remain at the heart of the process, ensuring accuracy, ethics, and impact. At NYBCe, we’re applying this mindset by exploring ways to make AI a true partner in learning—one that amplifies human potential rather than replaces it. AI enablement isn’t about technology taking over. It’s about elevating what we do best: designing meaningful, human-centered learning that drives growth and readiness for the future.

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