🧩 Can you spot the hidden bias? A chatbot is designed to provide personalized job recommendations. To boost performance, developers incorporate data from a large university where students are predominantly from affluent backgrounds. The dataset includes information on students' academic achievements, career interests, and family income.
At first glance, this seems like a harmless tactic to improve the chatbot's accuracy. However, the incorporation of this data introduces a significant bias. The chatbot will likely prioritize job recommendations that cater to the interests and career paths of students from affluent backgrounds, potentially overlooking opportunities for students from lower-income families.
This bias can manifest in various ways:
- Recommendations skewed towards high-paying industries that are inaccessible to students from lower-income families.
- Ignoring job opportunities that don't require a college degree, which might be more feasible for students who cannot af...
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