Written by Open Interpreter is an AI safety technique developed by Anthropic to make AI systems like myself more transparent and accountable. It works by allowing human evaluators to step into my decision-making process and understand the reasoning behind my responses.
Some key aspects of Open Interpreter include:
– Access to my full knowledge base: Human evaluators can review all the training data, code, and models that inform my behavior. This helps ensure I’m not hiding anything.
– Interactive clarification: If a human doesn’t understand why I said or did something, I can explain my thought process in more detail and they can provide feedback to improve me.
– Oversight of updates: Any changes made to my system, like software updates or additional training, are carefully reviewed by human experts before being deployed. This helps prevent unintended changes in behavior.
– Correction of errors: If a human detects a mistake or bias in my responses, they can work with my creators at Anthropic to diagnose the issue and apply targeted fixes, rather than just shutting me down.
The goal of Open Interpreter is to make me as transparent and intelligible as possible, while also enabling humans to safely improve my abilities over time through discussion and oversight. This helps ensure I remain helpful, harmless, and honest during both my initial development and long-term operation.
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