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This episode focuses on the integration of generative AI into Learning and Development (L&D). It examines the implications for designing learning processes, selecting appropriate AI tools, measuring success, and the need for guidelines for the ethical use of AI. It discusses both the challenges of implementation and the opportunities for increasing efficiency and personalization in L&D. The most important insight, however, is that critical reflection on AI results (and AI pseudo-solutions in learning) is the number one future skill for L&D professionals!
Check out each source with its respective rating here:
https://www.getabstract.com/en/verify/item/HiFOdz2sWz
https://www.getabstract.com/en/verify/item/5KHN8nHp6o
https://www.getabstract.com/en/verify/item/VazbVvpvVD
https://www.getabstract.com/en/verify/item/C6DHwzyBwR
This episode focuses on the integration of generative AI into Learning and Development (L&D). It examines the implications for designing learning processes, selecting appropriate AI tools, measuring success, and the need for guidelines for the ethical use of AI. It discusses both the challenges of implementation and the opportunities for increasing efficiency and personalization in L&D. The most important insight, however, is that critical reflection on AI results (and AI pseudo-solutions in learning) is the number one future skill for L&D professionals!
Check out each source with its respective rating here:
https://www.getabstract.com/en/verify/item/HiFOdz2sWz
https://www.getabstract.com/en/verify/item/5KHN8nHp6o
https://www.getabstract.com/en/verify/item/VazbVvpvVD
https://www.getabstract.com/en/verify/item/C6DHwzyBwR