content.raw: As AI models become more widespread, it is essential to address their potential risks and vulnerabilities. Open-source AI is poised to be a driving force behind tomorrow's innovations in this field. This paper examines the current landscape of security and safety in open-source AI models and outlines concrete measures to monitor and mitigate associated risks effectively.
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content.value: As AI models become more widespread, it is essential to address their potential risks and vulnerabilities. Open-source AI is poised to be a driving force behind tomorrow's innovations in this field. This paper examines the current landscape of security and safety in open-source AI models and outlines concrete measures to monitor and mitigate associated risks effectively.
content.type: new_line
content.type: new_line
content.label: Building Trust: Foundations of Security, Safety and Transparency in AI (2411.12275)
content.raw: https://huggingface.co/papers/2411.12275
content.id: 2411.12275
content.type: paper
content.type: resource
content.url: https://huggingface.co/papers/2411.12275
content.type: new_line
content.type: new_line
content.type: new_line
content.type: new_line
content.type: new_line
content.type: new_line
content.type: new_line
rawContent: As AI models become more widespread, it is essential to address their potential risks and vulnerabilities. Open-source AI is poised to be a driving force behind tomorrow's innovations in this field. This paper examines the current landscape of security and safety in open-source AI models and outlines concrete measures to monitor and mitigate associated risks effectively.
  
  https://huggingface.co/papers/2411.12275
  
  
  
  
  
  
  
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