BLUF

Military AI governance is hindered less by advanced weapons than by a lack of shared definitions and reliable data. Experts argue that common terminology is essential for enabling responsible AI integration into the military.

Learning Outcomes 

  • Explain the challenges of governing military AI, including how inconsistent terminology and fragmented data hinder communication, collaboration, and effective policy development across stakeholders.
  • Analyse the importance of shared knowledge frameworks in military AI governance, evaluating how common definitions, data repositories, and international cooperation can support responsible AI integration.
  • Assess the role of data aggregation tools and databases, such as AIMID, in improving transparency, interoperability, evidence-based decision-making, and risk reduction in the global military AI ecosystem. 
READ: The lack of a shared lexicon is undermining responsible AI-military integration

References