Update articles/cognitive-services/Computer-vision/whats-new.md

Co-authored-by: Lucia <[email protected]>

Author: PatrickFarley

articles/cognitive-services/Computer-vision/whats-new.md

@@ -20,6 +20,10 @@ Learn what's new in the service. These items may be release notes, videos, blog
 
 ### Face transparency documentation
 * The [transparency documentation](https://aka.ms/faceraidocs) provides guidance to assist our customers to improve the accuracy and fairness of their systems by incorporating meaningful human review to detect and resolve cases of misidentification or other failures, providing support to people who believe their results were incorrect, and by identifying and addressing fluctuations in accuracy due to variation in operational conditions.
+### Retirement of sensitive attributes
+
+* We have retired facial analysis capabilities that purport to infer emotional states and identity attributes such as gender, age, smile, facial hair, hair and makeup. 
+* Facial detection capabilities, (including detecting blur, exposure, glasses, headpose, landmarks, noise, occlusion, facial bounding box) will remain generally available and do not require an application.
 
 ### Fairlearn package and Microsoft's Fairness Dashboard
 * [The open-source Fairlearn package and Microsoft’s Fairness Dashboard](https://github.com/microsoft/responsible-ai-toolbox/tree/main/notebooks/cognitive-services-examples/face-verification) aims to support customers to measure the fairness of Microsoft’s facial verification algorithms on their own data - allowing them to identify and address potential fairness issues that could affect different demographic groups before they deploy their technology.