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. Fail-safe plans

  2. Fairness

  3. Federated learning

  4. Fine-tuning

  5. Foundation model

  6. Generalization

  7. Generative AI

  8. Greedy algorithms

  9. Ground truth

  10. Hallucinations

  11. Human in the loop

  12. Human-centric AI

  13. Impact assessment

  14. Inference

  15. Input data

  16. Interpretability

  17. Large language model

  18. Machine learning

  19. Machine learning model

  20. Misinformation