🔬

Forecasting AI Progress: A Research Agenda

📅 2020
technical research breakthrough
🔵 Rare

📖 Description

Forecasting AI Progress: A Research Agenda Ross Gruetzemacher*, Florian Dorner ? ? ? , Niko Bernaola-Alvarez ? ? ? , Charlie Giattino ? ? ? , David Manheim ? ** *Auburn University, ? ? ? Freie Universit?t Berlin, ? ? ? Universidad Polit?cnica de Madrid, ? ? ? University of Oxford, ? ** ? University of Haifa ABSTRACT: ? Forecasting AI progress is essential to reducing uncertainty in order to appropriately plan for research efforts on AI safety and AI governance. While this is generally considered to be an important topic, little work has been conducted on it and there is no published document that gives an objective overview of the field. Moreover, the field is very diverse and there is no published consensus regarding its direction. This paper describes the development of a research agenda for forecasting AI progress which ...

📊 Game Impacts

Variable Change Condition
Research +15 Always
Papers +10 Always
Vibey Doom +3 Always

💭 Reactions

🔬 Safety Researcher Reaction: ⚠️ Placeholder - Needs Real Quote
"Important contribution to the field"
📰 Media Reaction: ⚠️ Placeholder - Needs Real Quote
"Published in academic venue"
💡 Found a Real Quote? Suggest it here

🔗 Sources

🏷️ Event Metadata

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

📁 Category Technical Research Breakthrough → Suggest different category
⭐ Rarity 🔵 Rare → Suggest different rarity
🏷️ Tags (0) → 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

🤝 Found an Issue?

This event data is sourced from the pdoom-data repository. If you notice errors or want to suggest improvements:

GitHub Issue (Preferred) 📧 Email (No GitHub)
← Back to All Events