Meaning ● SMB Fairness Metrics are a suite of evaluative measures used to assess whether AI and automated systems, particularly within Small and Medium-sized Businesses, are yielding equitable outcomes in areas such as customer service, marketing, and internal operations. These metrics scrutinize for unintended biases introduced during system development or data training, thereby impacting business decisions. Examining disparate impact across various customer segments is vital, for example, if automation in loan application processing results in disproportionate rejection rates for specific demographic groups. Consequently, applying SMB Fairness Metrics involves ongoing monitoring and recalibration of algorithms to ensure alignment with ethical standards and to support responsible business automation. Moreover, these benchmarks become increasingly vital as SMBs scale and integrate more advanced AI-driven tools into their workflows, safeguarding against perpetuating biases in the pursuit of efficiency. The ultimate aim is to promote impartiality and foster trust with customers while leveraging the benefits of automation.
