Dear MEL Topic Readers,
How algorithms keep workers in the dark
The management team is supposed to provide answers to the questions by their
employees as to how they made certain decisions or instructions. However, as the
use of AI algorithms become more popular among all businesses, from financial investment
to delivery routes, there is an increasing number of unanswered questions among
front-line workers. For example, pickers at a shipping facility are set their
walk pace and food delivery drivers are allocated and evaluated their jobs. Algorithms
are even used in the employment process, where no one knows why someone was rated
higher or lower than other candidates.
So, while algorithms become more powerful and influential, are they flawless
or dependable? Fundamentally, they could be biased depending on the inputs and
learning. Also, they could create a power imbalance between algorithm management
and workers. Indeed, algorithms are like a black box as no one knows what’s
inside and it is nearly impenetrable.
As algorithms become smarter by machine learning, humans may need to
learn about machines.
Enjoy reading the article and think about what could make humans outsmart AI algorithms.
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