📢

An Analytic Perspective on AI Alignment

📅 2020
public awareness
🔵 Rare
#ai #interpretability (ml & ai)

📖 Description

This is a perspective I have on how to do useful AI alignment research. Most perspectives I'm aware of are constructive: they have some blueprint for how to build an aligned AI system, and propose making it more concrete, making the concretisations more capable, and showing that it does in fact produce an aligned AI system. I do not have a constructive perspective - I'm not sure how to build an aligned AI system, and don't really have a favourite approach. Instead, I have an analytic perspective. I would like to understand AI systems that are built. I also want other people to understand them. I think that this understanding will hopefully act as a 'filter' that means that dangerous AI systems are not deployed. The following dot points lay out the perspective.

📊 Game Impacts

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

💭 Reactions

🔬 Safety Researcher Reaction: ⚠️ Placeholder - Needs Real Quote
"This is a significant contribution to alignment research"
📰 Media Reaction: ⚠️ Placeholder - Needs Real Quote
"Discussed in AI safety community"
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🔗 Sources

🏷️ Event Metadata

Think this event's metadata could be improved? Suggest changes to category, rarity, tags, game impacts, or p(doom) effects.

📁 Category Public Awareness → Suggest different category
⭐ Rarity 🔵 Rare → Suggest different rarity
🏷️ Tags (2) ai, interpretability (ml & ai) → 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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