Current issue pertaining to HR's use of data

Sample Answer

Ethical Concerns with Algorithmic Bias in HR Data Analytics

Link to Resource:

Implementing AI in HR: 5 Ethical Considerations and 6 Best Practices - Docudavit: https://docudavit.com/ai-hr-ethical-considerations/

Ethical Considerations with the Issue Identified

The use of Artificial Intelligence (AI) and machine learning algorithms in HR data analytics is a current and pressing issue, particularly concerning algorithmic bias. While AI promises efficiency and objectivity, its reliance on historical data can inadvertently perpetuate and even amplify existing human biases present in that data. This raises several critical ethical considerations:

Fairness and Discrimination:

Perpetuation of Historical Bias: If AI algorithms are trained on historical HR data that reflects past discriminatory practices (e.g., predominantly hiring men for leadership roles, or excluding certain demographic groups from specific opportunities), the AI may learn and replicate these biases. This can lead to unfair treatment of candidates or employees based on protected characteristics (race, gender, age, disability, etc.), even without conscious intent by the HR professional. For example, an AI screening resumes might penalize candidates who attended historically women's colleges or include keywords more commonly found in male-dominated resumes.