AI Policy & Industrial Strategy

The context embodied AI operates in: regulation and governance, institutional accountability, AI industrial capability and European sovereignty, and the protection of human agency.

4 entries

• Artificial Intelligence (AI): Implications for Size and Composition of the U.S. Armed Forces
  BOL-R-0004 · Reference source · Congressional Research Service (CRS) · 2026-06-04

  A nonpartisan briefing for Congress on how AI adoption could change the size, skills and make-up of the U.S. military workforce, noting that the Defense Department frames AI as supporting people rather than replacing them.

  Decision supportPolicy & governance
• Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act)
  BOL-R-0003 · Reference source · Official Journal of the European Union · 2024-06-13

  The EU's binding, risk-based law on artificial intelligence, setting obligations for providers and deployers of AI systems according to the level of risk they pose.

  Policy & governanceAI embodiment
• Artificial Intelligence Risk Management Framework (AI RMF 1.0)
  BOL-R-0001 · Reference source · National Institute of Standards and Technology (NIST), U.S. Department of Commerce · 2023-01-26

  A voluntary framework from NIST that helps organizations identify, measure and manage the risks of AI systems they design, build, deploy or use.

  Policy & governanceSecurity
• Recommendation of the Council on Artificial Intelligence (OECD AI Principles)
  BOL-R-0002 · Reference source · Organisation for Economic Co-operation and Development (OECD) · 2019-05-22

  The first intergovernmental standard on AI: shared principles for trustworthy, human-centered AI, plus recommendations to governments on how to support it.

  Policy & governance

Also see: Embodied AI & Decision Support