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This paper proposes a fine-grained concept bottleneck model framework that grounds each concept in localized visual evidence, enabling direct verification of concept correctness and improving transparency in medical imaging tasks.
OpenAI publishes a report on mechanisms to improve verifiability in AI development, addressing how stakeholders can verify organizations' claims about AI system properties and safety practices.