📜

High-stakes alignment via adversarial training [Redwood Research report]

📅 2022
policy development
🔵 Rare
#adversarial examples #ai #inner alignment #redwood research

📖 Description

***(Update: We think the tone of this post was overly positive considering our somewhat weak results. You can read our latest post with more takeaways and followup results*** [***here***](https://www.alignmentforum.org/posts/n3LAgnHg6ashQK3fF/takeaways-from-our-robust-injury-classifier-project-redwood)***.)***

📊 Game Impacts

Variable Change Condition
Research +5 Always
Vibey Doom +5 Always
Ethics Risk -5 Always

💭 Reactions

🔬 Safety Researcher Reaction: ⚠️ Placeholder - Needs Real Quote
"Important work advancing our understanding of AI safety"
📰 Media Reaction: ⚠️ Placeholder - Needs Real Quote
"Discussed in AI safety community"
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🔗 Sources

🏷️ Event Metadata

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📁 Category Policy Development → Suggest different category
⭐ Rarity 🔵 Rare → Suggest different rarity
🏷️ Tags (4) adversarial examples, ai, inner alignment, redwood research → Suggest tag changes
📊 Game Impacts (3) 3 variable changes → Suggest impact changes
☢️ p(Doom) Impact No direct impact → Suggest p(doom) change
📝 General Metadata Year, description, reactions → Comprehensive review

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