The emergence of an intelligence augmentation economy will fundamentally change the nature of work and what people need to learn and do to be its contributors and beneficiaries. This paper explores what this means for the science and practice of human factors/ergonomics design and engineering as well as how we teach it. We summarize the augmented economy and HFES relevant examples of learning within it. We them point out some of the challenges to HFES within this setting. Finally, we propose the learning engineering process as one model that might help advance the field respond to the intelligence augmentation economy.
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