215 - Guest: John Danaher, Law Professor in AI Ethics, part 1
Artificial Intelligence and You
Work's Complexity: Beyond Automation Metrics
Quantitative measures of automation's impact on work often lack accuracy or representativeness, as they rely on methodologies that oversimplify complex phenomena. The distinction between 'work,' 'jobs,' and 'tasks' is critical, with work being an abstract concept tied to diverse interpretations. A broad definition encompassing all physical or difficult activity suggests technology will never fully replace work, as people will always engage in some form of meaningful activity. A more economic-focused definition of work involves performing tasks in exchange for monetary reward, emphasizing structured roles defined within the context of modern industrial economies. This nuanced understanding reveals the limitations of studies that attempt to quantify work automation's implications.
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