For the inaugural episode of Leading L&D, longtime colleague and friend Laura Paramoure brings her 25+ years of experience in learning measurement to talk about how AI is shaking up her world at the Raleigh-based eParamus.
While some people believe that artificial intelligence might replace some in the workforce, Laura believes that it could actually become a massive benefit for the instructional designers, training specialists and curriculum developers who learn to harness its power.
NOTE: We discovered an audio error in the editing process, and thankfully, it clears up around the 6-minute, 30-second mark.
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Summary
Leading L&D welcomes Laura Paramoure, CEO of eParamus, for a discussion on the intersection of AI and learning & development measurement. Laura emphasizes that while AI is a powerful tool for handling repetitive tasks in instructional design, it shouldn’t replace human thinking and strategic planning. She explains how AI can assist in creating course objectives and evaluations, but stresses that human oversight is crucial for quality control. The discussion covers important concerns about protecting intellectual property when using AI tools, with Laura describing how API integration can help secure sensitive corporate information. She also addresses industry fears about AI replacing jobs, arguing that AI should be viewed as an enhancement tool rather than a replacement for learning professionals. The conversation highlights both the potential benefits of AI in L&D (faster content creation, better language processing) and its limitations (lack of strategic thinking, potential for perpetuating outdated information).
Highlights
Introduction and Background
Adrian introduces Laura Paramoure, CEO of eParamus, a company specializing in measuring learning and development impact. The discussion begins with acknowledging their long-standing professional relationship and shared interest in L&D measurement.
AI’s Role in L&D Measurement
Laura explains how AI assists in the heavy lifting of instructional design, particularly in creating course structures, objectives, and evaluations. She emphasizes that AI is particularly effective at organizing content and connecting evaluations to objectives, though human oversight remains crucial.
Intellectual Property Protection and AI Implementation
The discussion addresses concerns about intellectual property protection when using AI. Laura describes how their company uses API integration to protect client data, ensuring that sensitive information isn’t stored in public AI databases. She explains that their Impact System allows companies to utilize AI capabilities while maintaining data security.
Benefits and Pitfalls of AI in L&D
Laura outlines key advantages of AI, including faster content processing and improved efficiency in creating learning objectives. However, she warns against the misconception that AI can completely replace instructional designers. She notes that some managers mistakenly believe AI can eliminate the need for human writers and designers.
Future Perspectives and Strategic Implementation
Laura shares her vision for AI’s future in L&D, hoping it will enable learning professionals to focus more on strategic work rather than routine tasks. She emphasizes that while AI can enhance the field, it cannot replace the strategic thinking and business understanding that human professionals bring to L&D.
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