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Will an academic paper validate OpenAI's Rule-Based Rewards for AI safety by mid-2025?
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No • 50%
Publications in reputable academic journals or conferences
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OpenAI Introduces Rule-Based Rewards to Enhance AI Safety
Jul 24, 2024, 04:31 PM
OpenAI has introduced Rule-Based Rewards (RBRs) as a key component of its safety stack to align AI model behavior with desired safe behavior without extensive human data collection. This new method leverages RBRs to provide reinforcement learning signals based on a set of safety rubrics, making it easier to adapt to changing safety policies. The RBRs enable AI models to rank their own safety, thereby automating safety scoring and allowing developers to create clear-cut safety instructions for AI model fine-tuning. This approach aims to make AI systems safer and more reliable for everyday use.
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Yes, and it will lead to new safety measures • 25%
Yes, but no new safety measures announced • 25%
No, review not completed • 25%
No, review completed but no announcement made • 25%
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