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Algorithmic AI can fall short, leaving gig workers without people to reach when issues come up.

The Wharton School Professor Lindsey Cameron explains a case where algorithmic management left a rideshare driver without work over a critical period, due to a mistake that they could not get help with, until the platform addressed it on their own accord and reached back out to the driver to acknowledge the mistake.

EPISODE OVERVIEW
Can AI effectively serve as a manager to workers in the gig economy? The Wharton School professor Lindsey Cameron discusses the pros and cons of gig work. While gig workers have flexibility and may prefer gig work to other options, such as working at Walmart, they face challenges, including in “algorithmic management,” where reaching a person when issues come up is often impossible.

PODCAST OVERVIEW
Every day, business scholars answer pressing questions in their research – but what do their insights mean for you? In this podcast, Wharton faculty dive into what inspired their studies and how their findings resonate with the world today. Learn how research insights translate into knowledge you can use, with host Dan Loney.

Learn more at http://whr.tn/rippleeffect.

#gigworker #algorithms #gigworkers #gigwork #gigeconomy #rideshare
—–
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