Biological data governance in an age of AI

Key Points

• The central aim is to explore how tailored access controls can mitigate risks associated with the misuse of viral data in the context of AI governance.
• Analyzing current governance frameworks for biological data
• Evaluating access control strategies
• Assessing misuse risk scenarios for viral data
• Implementing tailored access controls can significantly lower misuse risks.
• Specific control mechanisms improve data security and responsible usage.
• Enhancements in governance frameworks are critical for managing viral data risks.