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Guardrails on AI
Summary:
We would like to know what are the guardrails that are built into the system. and would like to understand that the system would rate candidates on the following parameters:
• Profile
• Education
• Experience
• Skill
It would be helpful if you could provide a detailed overview of the process being followed to mitigate algorithmic bias. Along with the overview, we would also like to get answers to the following questions:
• Does the selection or rejection of candidates have an impact on the ratings of the candidate over time?
• Is the data used for training diverse? As we would not want candidates of only a certain background/ profile to get pushed by the system.
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