Key terms for AI governance

This glossary was originally published in October 2023 and has been updated several times since to reflect the developing state of the art for AI governance. The updated version has been developed with reference to various materials and with valuable feedback from top experts in AI governance. It includes new terms and modifications to existing terms.

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  1. Model card

  2. Multimodal models

  3. Natural language processing

  4. Neural networks

  5. Open-source software

  6. Overfitting

  7. Oversight

  8. Parameters

  9. Post processing

  10. Preprocessing

  11. Prompt

  12. Prompt engineering

  13. Random forest

  14. Red teaming

  15. Reinforcement learning

  16. Reinforcement learning with human feedback

  17. Reliability

  18. Retrieval augmented generation

  19. Robotics

  20. Robustness