AI Should Escape Human Power Games
💡It connects AI alignment, causal reasoning, embodied intelligence, and the limits of human-designed ethics.
⚡ 30-Second TL;DR
What Changed
Human values and ethics are portrayed as products of historical power struggles, so blindly encoding them into AI may reproduce bias and domination.
Why It Matters
The ideas challenge AI teams to treat alignment as more than preference imitation or safety-rule accumulation. They also support investment in causal evaluation, embodied learning, process-aware datasets, and governance mechanisms that reduce the risk of importing polarized human behavior into models.
What To Do Next
Benchmark your model on causal reasoning and temporal-process tasks, then compare results before and after adding trajectory-based or embodied data.
Key Points
- •Human values and ethics are portrayed as products of historical power struggles, so blindly encoding them into AI may reproduce bias and domination.
- •AI models often capture statistical correlation without understanding causality, which can produce fluent but logically weak outputs.
- •Embodied intelligence could help AI learn from dynamic, grounded experience rather than only from human-curated datasets.
- •“Verb philosophy” frames intelligence as understanding dynamic relations, processes, and causal change instead of static concepts.
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Original source: 虎嗅 ↗
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