Meaning ● Algorithmic lending bias, within the context of SMB growth, automation, and implementation, signifies systematic and often unintentional discriminatory outcomes in credit decisions produced by automated lending systems. This can arise from biased data sets used to train these algorithms, perpetuating historical inequalities affecting specific SMB demographics or industries. Consequently, worthy SMBs may be unfairly denied access to crucial capital, hindering expansion or even viability.