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Bias and Facial Recognition
Joy Buolamwini experienced bias in facial recognition software during her first semester at MIT. She received computer vision software that was supposed to track her face. It did not work until she put on a white mask. Joy was inspired to create a non-profit and influenced the Coded Bias documentary.
Watch both the Coded Bias trailer and the AI, Ain't I A Woman YouTube.
Record your thoughts in the AI Ethics Padlet below.
The Algorithmic Justice League is an organization that combines art and research to illuminate the social implications and harms of artificial intelligence.
Click the books to check out their resources.
Click to open the Padlet below and add a post or two. In the post, jot down your reactions to the Cameras Above the Classroom article, Coded Bias trailer, or Joy Buolamwini's "AI, Ain't I A Woman?" YouTube. Did anything cause you to take action and what might that be?
What is being done to remedy and prevent the biases that have crept into AI systems? Princeton University researchers have developed REVISE (REvealing VIsual biaSEs) to help root out potential biases in image sets that are used to train artificial intelligence (AI) Read the full article here.
It is important that machine learning does not use prejudiced data to train the model. See how you teach the AI simulated machine can reflect your opinion in code.org's fish sorting game.
Facial recognition currently in use with Chinese classrooms. Is the US next?
Add your thoughts to the Padlet.
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