The algorithmic inequality trap

When algorithms manage the workforce, dreams of rising from burger flipper to CEO are over

A gig economy worker with grocery delivery firm Instacart at work in a supermarket in the United States. PHOTO: AGENCE FRANCE-PRESSE

The risks of algorithmic discrimination and bias have received much attention and scrutiny, and rightly so. Yet there is another more insidious side effect of a society increasingly powered by artificial intelligence (AI) - the systematic inequality created by the changing nature of work itself.

We have long feared a future where robots take our jobs, but what happens when a significant portion of the workforce simply ends up in algorithmically managed jobs with little future and few possibilities for advancement?

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