3 | Challenge your peers roundtable: Fairness Measures in HR Analytics – How to avoid bias and lack of fairness in HR analytics?

3 | Challenge your peers roundtable

Monday, September 29

04:30 PM - 05:30 PM

Live in Copenhagen

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What are the common sources of bias in HR analytics, and how can they be identified and mitigated during the data collection process?
How can HR professionals ensure that predictive algorithms used for recruitment and performance evaluations are free from gender, racial, or age biases?
What role does transparency play in the development of fair HR analytics models, and how can organizations ensure stakeholders understand how these models make decisions?
What are some key fairness metrics or methodologies that can be employed to evaluate the equity and inclusiveness of HR analytics outcomes?
How can companies regularly audit and update their HR analytics systems to ensure ongoing fairness and compliance with diversity and inclusion goals?

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