Vlad Goodkovsky, PhD
Interdisciplinary Scientist and Inventor, iTutorSoft.com
Incorporating generative AI like ChatGPT into learning and instructional design necessitates a focus on making AI understandable and trustworthy. This involves enhancing AI's transparency and interpretability through systematic frameworks that integrate data structures and logical processes. Developing a responsible AI infrastructure is crucial, ensuring that AI tools assist effectively in educational settings by being both transparent in their decision-making and adaptable to user needs.
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Implementing AI in workplace learning presents significant challenges, such as accelerating outdated practices and the technical knowledge gap among instructional designers. There's a need for scientifically sound tools and responsible AI implementation to avoid reinforcing ineffective educational methods. Effective integration requires infrastructure that supports prompt engineering and response validation, aligning AI use with educational goals and human learning processes.
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