A major concern when implementing artificial intelligence in business is the potential for bias in algorithms and decision-making processes. AI systems can inadvertently perpetuate or amplify existing biases present in the training data, leading to unfair outcomes or discrimination in critical areas such as hiring, lending, or law enforcement. Addressing bias is crucial for ethical AI deployment, as it affects trust, compliance, and overall effectiveness. Organizations must prioritize fairness, transparency, and accountability in their AI solutions to mitigate these risks.