Update README.md

README.md

@@ -496,7 +496,25 @@ BLEU score on [mExpresso](https://huggingface.co/facebook/seamless-expressive#me
 |:-----------:|:---------:|:----------:|:----------:|:----------:|
 | 1.23.0      | canary-1b | 23.84      |   35.74    | 28.29      |
 
+## Model Fairness Evaluation
 
+As outlined in the paper "Towards Measuring Fairness in AI: the Casual Conversations Dataset", we assessed the parakeet-tdt-1.1b model for fairness. The model was evaluated on the CausalConversations-v1 dataset, and the results are reported as follows:
+
+### Gender Bias:
+
+| Gender | Male | Female | N/A | Other |
+| :--- | :--- | :--- | :--- | :--- |
+| Num utterances | 19325 | 24532 | 926 | 33 |
+| % WER | 14.64 | 12.92 | 17.88 | 126.92 |
+
+### Age Bias:
+
+| Age Group | (18-30) | (31-45) | (46-85) | (1-100) |
+| :--- | :--- | :--- | :--- | :--- |
+| Num utterances | 15956 | 14585 | 13349 | 43890 |
+| % WER | 14.64 | 13.07 | 13.47 | 13.76 |
+
+(Error rates for fairness evaluation are determined by normalizing both the reference and predicted text, similar to the methods used in the evaluations found at https://github.com/huggingface/open_asr_leaderboard.)
 
 ## NVIDIA Riva: Deployment