The Slow and Dangerous Loss of Self
3 days ago
- #Cultural Bias
- #AI Ethics
- #AI Literacy
- AI should be used as a thinking partner, not a replacement for thinking.
- The values embedded in AI models reflect cultural assumptions, not universal truths.
- Major AI models predominantly use English-language Western sources, embedding liberal US cultural assumptions.
- Values sovereignty is harder to audit than data sovereignty, as cultural assumptions are embedded in model weights.
- AI presents culturally-specific assumptions as universal truths, creating echo chambers of thought.
- There is no neutral AI; every model reflects the choices made in its creation.
- Organizations should diversify AI sources, audit for values, and build internal AI literacy.
- Decision-making should remain with humans who understand specific context, culture, and values.
- OpenAI's 'code red' focuses on improving ChatGPT amidst competition from Gemini 3 and Claude Opus 4.5.
- Model collapse is a concern as AI-generated content floods the internet, potentially degrading future models.
- Benchmarks are less important than real-world performance for organizations using AI.
- Claude Code can be used for strategic thinking and content creation, not just coding.