How can AI interpretation vary in different contexts?
AI interpretation can vary significantly based on the context, such as medical, legal, or casual conversations.
Can you give examples of how it differs in medical and legal settings?
In medical settings, AI focuses on accuracy and empathy, while in legal settings, it emphasizes precision and adherence to regulations.
What challenges does AI face in these different settings?
Challenges include understanding jargon, maintaining confidentiality, and ensuring cultural sensitivity.
How can these challenges be addressed?
Training AI with diverse datasets, involving human oversight, and continuous learning can help address these challenges.
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