A feedback dynamic in which a dominant mode of knowledge production becomes self-reinforcing over time, progressively narrowing the diversity of human expression and cultural output.
So what? When AI systems trained on existing dominant knowledge corpora are used to produce new content at scale, they can amplify existing biases and crowd out minority or non-mainstream perspectives, gradually reducing the overall range of knowledge available for future training and use.
Example: If generative AI tools trained on predominantly Western, English-language content are widely adopted for content production globally, they risk displacing local knowledge traditions and linguistic diversity from the digital landscape over successive generations of model training.
So what? When AI systems trained on existing dominant knowledge corpora are used to produce new content at scale, they can amplify existing biases and crowd out minority or non-mainstream perspectives, gradually reducing the overall range of knowledge available for future training and use.
Example: If generative AI tools trained on predominantly Western, English-language content are widely adopted for content production globally, they risk displacing local knowledge traditions and linguistic diversity from the digital landscape over successive generations of model training.
