The drying up of training data, combined with its misalignment with user needs, will negatively impact both commercial and non-commercial AI development, leading to biases.
Researchers have found that while AI companies predominantly use news and encyclopedia content for training, actual user interactions with AI, like ChatGPT, show a stark shift towards different, often sexual, topics.
AI model performance heavily relies on the diversity and relevance of training data, and as data becomes less available and less aligned with user needs, the efficacy of AI systems is compromised.
The discourse surrounding AI has focused excessively on news and disinformation, neglecting how users are really engaging with the technology, which complicates the narrative on AI's impact.
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