Privacy concerns arise as NLP systems may inadvertently reveal sensitive information. Bias in algorithms is another concern, as models trained on biased data may perpetuate societal biases. Additionally, automated decision-making based on NLP outputs can lead to unintended consequences. Mitigation strategies include robust privacy protections and ensuring fairness and transparency in algorithmic processes.