Big Data/Algorithms/Algorithmic Transparency Response

I DIDN’T REALIZE I DIDN’T PUBLISH THIS LAST WEEK AHHH

My Experiment Opting Out of Big Data Made Me Look Like a Criminal
Janet tried to hide her pregnancy from all the online advertising companies because a pregnant woman is worth as much as knowing the age, sex and location of up to 200 people. Hiding a secret like this needs much cooperation (with the people you know), but I wonder if it’s ever possible to keep yourself off the grid?

The era of blind faith in big data must end
What if the algorithms are wrong? We shouldn’t blindly trust big data and fear mathematical formula in algorithms. Algorithms are not fair because they repeat our past patterns by using data in the past. O’Neil suggested we can fix the biased algorithms through algorithmic audits- data integrity check, definition of success, and accuracy.
How do we raise the public awareness of biased algorithms?

Automating inequality
Eubanks started from explaining why we’re building a digital poorhouse now in a historical standpoint. Then she gave some examples of how algorithms were never fair to everyone- Indiana food stamps, system bias towards lower class families…

The Computer Says No
I realized I’ve seen some clips (and a lot of other memes) from Little Britain. But this is exactly what’s going to happen if we blindly trust algorithms and data!

The black box
Black box can refer to data-monitoring systems that we can only see the inputs and outputs, but not the process. Like credit reports are common now, but no one knows how it was calculated. I am surprised to know that financial institutions could hide things behind the public too.
I wonder what will be the vision of a transparent society?

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