Example Concept: When deploying AI globally, businesses must consider the risk of data privacy breaches due to varying international data protection laws. Additionally, AI systems may inadvertently perpetuate biases if trained on non-representative datasets, leading to unfair outcomes. Integration challenges can arise from differing IT infrastructures across regions, and maintaining compliance with diverse regulatory environments requires ongoing monitoring and adaptation.