Crowd Sourcing and computer bias
These are the notes I took during our class discussion and my answers to the questions in the blogs about crowd sourcing and computer bias
Computer Bias
Computer bias describes systematic and repeatable errors in a computer system that create “unfair” outcomes, such as “privileging” one category over another in ways different from the intended function of the algorithm. Computer bias has been observed in search engine results and social media platforms. This bias can have impacts ranging from inadvertent privacy violations to reinforcing social biases of race, gender, sexuality, and ethnicity. due to biased data and/or unfair treatment of certain groups. This bias can greatly influence the decisions made by these systems and perpetuate existing societal biases and discrimination. For example, a facial recognition system trained on a biased dataset may have higher error rates for
Crowd Sourcing
With 150 students, the csp classroom on the Del Norte campus has plenty of opportunity for crowdsourcing, students can use crowd sourcing in their projects to get work done at a faster rate by using data inputted by other students or people using their program. The use of crowd sourcing depends on the individuals project requirements, for example, in my project we need people to enter in information about themselves and create an account for our dating site otherwise we could not populate an entire dating site with accounts ourselves.