Computer Science Department at Duke U. Now Offering Course on Race and Gender
“Race, Gender, Class, & Computing”
Every discipline will eventually succumb to this progressive agenda. At what point does it overshadow the actual subject being studied?
The College Fix reports:
Duke computer science department offers new class on race and gender
Duke University this fall semester is offering a new class to its students titled: “Race, Gender, Class, & Computing.”
The course “explores the diversity, equity, and inclusion (DEI) challenges in computing,” according to the Computer Science department’s website. It will do so “through an introduction to and analysis of various social constructs and their impact on not only computing departments and organizations,” according to the course description.
The class is taught by Nicki Washington, a new instructor in the department. Washington designed the course, according to the department.
Washington did not respond to multiple emailed requests for comment in the past week and a half from The College Fix seeking comment on the desired goals for the course and a copy of the course syllabus and its reading list.
The school’s media relations office did not respond to multiple emailed requests for comment in the past week and a half seeking the same information.
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According to the student paper The Chronicle, the first part of the class will cover topics surrounding “race, ethnicity, gender, sexuality, class, ability, and religion, designed to help students form a foundational understanding of identity.”
Washington gave the student paper an example on a topic the course explored.
The professor said her class discussed “how people with darker skin tones are not properly recognized” by “facial recognition technology.”
She explained:
In the short term, if I walk in front of a sensor, it may not sense me. If I’m on camera, then there’s a high likelihood that the image of me will be inaccurate. What does this mean? This means there’s a likelihood I could be falsely accused of committing a crime. We look at examples in the news where we see Black men who have been falsely arrested due to inaccurate facial recognition technology.
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Comments
“Duke” joints “Harvard” as a punchline.
Because we all know being a success at computer science requires knowing all about the 57 genders of the 57 different races according to the illegal Kenyan president.
Time to inspect your STEM and prune off all the suckers.
Boolean logic doesn’t need a Politically Correct version.
Didn’t Bool have white privilege? Isn’t he part of the white patriarchy, making his findings invalid?
Well, there is a probability that it might be wrong, but she has not provided any evidence other than her statement that it is a high probability. I suspect the facts will show that there is a high probability of it being correct, and that if stores were allowed to use facial recognition from their database to exclude shoplifters at the store entrance, costs would go way down. But politicians are trying to block this because it interferes with their goal of making all private property community property.
The fact that software has a bug is racist?
Ask the engineers at Apple, whose face-recognition unlocking feature for the iPhone concluded that all Asians looked alike.
If anyone in the department studies bioinformatics they can tell this new instructor that race and gender are biological realities, not social constructs.