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Last updated: Feb 07, 2025
Description
AI systems might overly represent certain cultures that result in a homogenization of culture and thoughts.
Why is impact on cultural diversity a concern for foundation models?
Underrepresented groups' languages, viewpoints, and institutions might be suppressed by that means reducing diversity of thought and culture.
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Example
Homogenization of Styles and Expressions
As per the source article, by predominantly learning from and replicating widely accepted and popular styles, AI models often overlook less mainstream, unconventional art forms, leading to a homogenization of creative outputs. This pattern not only diminishes the diversity of styles and expressions but also risks creating an echo chamber of similar ideas. For example, the article highlights use of AI in the literary world. AI is now powering reading apps and online bookstores, assisting in writing and tailoring content feeds. By aligning with established user preferences or widespread trends, AI output could often exclude diverse literary voices and unconventional genres, limiting readers' exposure to the full spectrum of narrative possibilities.
Sources:
Parent topic: AI risk atlas
We provide examples covered by the press to help explain many of the foundation models' risks. Many of these events covered by the press are either still evolving or have been resolved, and referencing them can help the reader understand the potential risks and work towards mitigations. Highlighting these examples are for illustrative purposes only.
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