Meaning ● Algorithmic bias in metrics, within the SMB sphere of growth and automation, denotes systematic errors in data analytics arising from flawed algorithm design, biased training data, or unintended operational consequences. Consequently, SMB decisions regarding resource allocation, customer engagement, and process optimization can be skewed. ● Implementation of AI tools, therefore, requires vigilance to identify and mitigate these biases. The effect of biased algorithms in metrics for example can distort sales forecasts, skew marketing analytics, or misrepresent operational efficiencies.
