AI needs better human data, not bigger models
AI’s future doesn’t depend on ever-larger models but on better, human-curated data. AI risks bias, hallucinations and irrelevance without expert oversight and high-quality training sets.
Opinion by: Rowan Stone, CEO at Sapien
AI is a paper tiger without human expertise in data management and training practices. Despite massive growth projections, AI innovations won’t be relevant if they continue training models based on poor-quality data.
Besides improving data standards, AI models need human intervention for contextual understanding and critical thinking to ensure ethical AI development and correct output generation.
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