What ethical considerations or risks are associated with the widespread adoption of NLP?
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.
