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Request for Proposals: Technical AI Safety Research - Coefficient Giving
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This Open Philanthropy RFP was a significant funding call that helped shape the direction of technical AI safety research by incentivizing alignment work grounded in empirical deep learning, influencing which research agendas received resources during a formative period for the field.
Metadata
Importance: 55/100organizational reportprimary source
Summary
Open Philanthropy issued a request for proposals seeking technical AI safety research projects that directly engage with modern deep learning systems. The RFP aimed to fund alignment research grounded in empirical work with neural networks, rather than purely theoretical approaches, reflecting a strategic shift toward more practically-oriented safety research.
Key Points
- •Open Philanthropy sought proposals for AI alignment research specifically targeting deep learning systems, signaling prioritization of empirical over purely theoretical safety work.
- •The RFP represented a major funding opportunity for technical AI safety researchers working on problems relevant to contemporary ML systems.
- •Reflects Open Philanthropy's broader strategy of directing philanthropic capital toward near-term tractable alignment problems with modern architectures.
- •Encouraged diverse research directions including interpretability, robustness, and alignment techniques applicable to neural networks.
- •Signals institutional recognition that safety research must keep pace with rapid advances in deep learning capabilities.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Model Organisms of Misalignment | Analysis | 65.0 |
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Where to submit your proposal
Most of the time, we proactively reach out to potential grantees to shape funding proposals together, but we also read unsolicited proposals. If you want to submit an idea to us, you can send an email to science@coefficientgiving.org with a short description of an existing proposal you have submitted to another funder, or a new 1-2
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