Under the NIST AI RMF, the MAP function includes categorizing AI systems by their risk level. Which factor is LEAST relevant when categorizing AI risk in the MAP function?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — c is correct because the number of GPUs used for training is a computational resource consideration with no direct bearing on risk categorization, which focuses on harm magnitude, probability, and breadth of impact. A, B, and D are all standard risk categorization factors in the NIST AI RMF.
Full explanation below image
Full Explanation
C is correct because the number of GPUs used for training is a computational resource consideration with no direct bearing on risk categorization, which focuses on harm magnitude, probability, and breadth of impact. A, B, and D are all standard risk categorization factors in the NIST AI RMF.