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Answer :
The option that is NOT a challenge of using AI in human resources is excessive employee data, as AI systems can handle and benefit from large datasets. Challenges such as complexity of HR phenomena, ensuring fairness, ethical constraints, and small data sets are more pertinent to AI in HR.Hence option 2) Excessive employee data is correct answer.
When evaluating the challenges of using AI in human resources, it is important to consider various factors that pose difficulties in implementation. One of the options listed does not represent a challenge commonly associated with the adoption of AI technologies in the field of human resources.
After careful consideration, the option that is NOT a challenge of using AI in human resources is 'Excessive employee data'. On the contrary, AI systems generally thrive on large datasets which allow them to better identify patterns, predict outcomes, and provide more accurate insights in HR processes.
The challenges in implementing AI for HR functions include, but are not limited to, the complexity of HR phenomena, ensuring fairness and ethical constraints, and dealing with small data sets which can limit the effectiveness of AI systems. Furthermore, varied demographics in the workplace and maintaining data privacy are challenges that need to be navigated carefully. Maintaining data justice and accounting for personal values, biases, and stereotypes amongst human service employees is critical when dealing with ethical and legal issues.
In summary, the correct option that is not a challenge for AI in human resources is the presence of excessive employee data, as AI systems are designed to process large amounts of information efficiently. Instead, small data sets would pose a bigger challenge for AI's performance and accuracy in HR-related tasks.Hence option 2) Excessive employee data is correct answer.
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