Automated data grading systems reject some false data, but AI systems can still develop hallucinations or exhibit questionable morality due to fake information.
Data's finite lifespan requires maintenance to prevent 'garbage out'; AI companies seek high-quality data sources, acknowledging the value of current information for training AI models.
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