How does AI bias affect hiring decisions?
AI bias can lead to unfair hiring practices by favoring certain demographics over others, impacting diversity.
What are some examples of AI bias in hiring?
Examples include algorithms that prioritize candidates from specific schools or backgrounds, ignoring qualified applicants.
How can companies mitigate AI bias?
Companies can mitigate bias by using diverse training data, regularly auditing algorithms, and involving diverse teams in development.
Are there any regulations on AI in hiring?
Yes, some regions have regulations requiring transparency in AI hiring processes and accountability for biased outcomes.
What role does human oversight play in AI hiring?
Human oversight is crucial to ensure that AI decisions align with ethical standards and to catch potential biases.
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