Meaning ● Within the sphere of SMB growth, automation, and successful implementations, contextual fairness norms denote the accepted principles and practices which inform how algorithms, AI and automated systems make decisions that impact different stakeholder groups in the business, ensuring equitable outcomes based on specific situational awareness and relevant business data. Considering these norms, SMEs can mitigate unintended biases. ● In effect, this necessitates constant evaluation and adjustment to consider diverse impacts on staff, clients, and the general public, helping prevent discrimination. Furthermore, effective governance regarding contextual fairness could involve data quality assessments, fairness metrics tracking, and regular audits integrated within business automated processes to improve transparency.