Q: 2
A human resources team is implementing a new generative AI application to assist the department
in screening a large volume of job applications. They want to ensure fairness and build trust with
potential candidates. What should the team prioritize?
Options
Discussion
C . Had something like this in a mock and transparency was the key to fairness/trust, not automation or speed.
I don't think it's D. I'd pick B since reducing processing time directly helps HR scale up and handle bigger applicant pools, which is usually a big concern. But if transparency is handled elsewhere, maybe B makes sense here for efficiency? Open to other views.
Not sure B is right, since efficiency alone doesn't cover trust and fairness. Wouldn't C address the core concern of candidate transparency?
C , since transparency is key for fairness in HR AI. Letting candidates know how their data is used and how decisions are made builds trust. Efficiency's nice but doesn't address the trust part directly. Unless I'm missing something, C matches what the question asks.
C or D, depends. If by "build trust" they specifically want candidates to understand how decisions are made, then C is the way to go. But if their main focus was pure efficiency regardless of transparency, D might fit. Which one does the question want as the primary goal?
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