Improving verifiability in AI development
OpenAI has contributed to a report on improving verifiability in AI development. The report, written by 58 co-authors from 30 organizations, outlines 10 mechanisms for verifying claims made about AI systems. These tools can help developers provide evidence that their systems are safe, secure, fair, and privacy-preserving. Users, policymakers, and civil society can use these tools to evaluate the development process of AI systems.
OpenAI has contributed to a report on improving verifiability in AI development. The report, written by 58 co-authors from 30 organizations, outlines 10 mechanisms for verifying claims made about AI systems. These tools can help developers provide evidence that their systems are safe, secure, fair, and privacy-preserving. Users, policymakers, and civil society can use these tools to evaluate the development process of AI systems.
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Why it matters: This matters because it provides a framework for evaluating the safety and security of AI systems, which is crucial for engineers working on high-stakes applications like autonomous vehicles or medical diagnosis.
Source: https://openai.com/index/improving-verifiability
This article was originally published at: https://openai.com/index/improving-verifiability