fix

Juliako · Juliako · commit 4db34bbf89e4 · 2023-03-24T11:38:24.000-07:00
diff --git a/articles/azure-video-indexer/audio-effects-detection-overview.md b/articles/azure-video-indexer/audio-effects-detection-overview.md
@@ -1,5 +1,5 @@
 ---
-title: Introduction to Azure Video Indexer audio effects detection transparency note
+title: Introduction to Azure Video Indexer audio effects detection
 titleSuffix: Azure Video Indexer 
 description: An introduction to Azure Video Indexer audio effects detection component responsibly.
 author: Juliako
@@ -22,7 +22,7 @@ Review [transparency note overview](/legal/azure-video-indexer/transparency-note
 
 ## General principles 
 
-This transparency note discusses audio effects detection and the key considerations for making use of this technology responsibly. There are a number of things you need to consider when deciding how to use and implement an AI-powered feature: 
+This article discusses audio effects detection and the key considerations for making use of this technology responsibly. There are a number of things you need to consider when deciding how to use and implement an AI-powered feature: 
 
 * Will this feature perform well in my scenario? Before deploying audio effects detection into your scenario, test how it performs using real-life data and make sure it can deliver the accuracy you need. 
 * Are we equipped to identify and respond to errors? AI-powered products and features won't be 100% accurate, so consider how you'll identify and respond to any errors that may occur. 
diff --git a/articles/azure-video-indexer/concepts-overview.md b/articles/azure-video-indexer/concepts-overview.md
@@ -6,9 +6,9 @@ ms.date: 12/01/2022
 ms.author: juliako
 ---
 
-# Azure Video Indexer terminology & concepts
+# Azure Video Indexer terminology & concepts 
 
-This article gives a brief overview of Azure Video Indexer terminology and concepts.
+This article gives a brief overview of Azure Video Indexer terminology and concepts. Also, review [transparency note overview](/legal/azure-video-indexer/transparency-note?context=/azure/azure-video-indexer/context/context)
 
 ## Artifact files
 
diff --git a/articles/azure-video-indexer/face-detection.md b/articles/azure-video-indexer/face-detection.md
@@ -1,7 +1,7 @@
 ---
-title: Azure Video Indexer face detection transparency note
+title: Azure Video Indexer face detection overview
 titleSuffix: Azure Video Indexer 
-description: This article gives an overview of an Azure Video Indexer face detection transparency note.
+description: This article gives an overview of an Azure Video Indexer face detection.
 author: juliako
 ms.author: juliako
 manager: femila
@@ -25,7 +25,7 @@ Review [transparency note overview](/legal/azure-video-indexer/transparency-note
 
 ## General principles 
 
-This transparency note discusses faces detection and the key considerations for making use of this technology responsibly. There are many things you need to consider when deciding how to use and implement an AI-powered feature: 
+This article discusses faces detection and the key considerations for making use of this technology responsibly. There are many things you need to consider when deciding how to use and implement an AI-powered feature: 
 
 - Will this feature perform well in my scenario? Before deploying faces detection into your scenario, test how it performs using real-life data and make sure it can deliver the accuracy you need. 
 - Are we equipped to identify and respond to errors? AI-powered products and features won't be 100% accurate, so consider how you'll identify and respond to any errors that may occur. 
diff --git a/articles/azure-video-indexer/keywords.md b/articles/azure-video-indexer/keywords.md
@@ -1,5 +1,5 @@
 ---
-title: Azure Video Indexer keywords extraction transparency note 
+title: Azure Video Indexer keywords extraction overview 
 titleSuffix: Azure Video Indexer 
 description: An introduction to Azure Video Indexer keywords extraction component responsibly.
 author: Juliako
@@ -20,7 +20,7 @@ Review [Transparency Note overview](/legal/azure-video-indexer/transparency-note
 
 ## General principles 
 
-This Transparency Note discusses Keywords and the key considerations for making use of this technology responsibly. There are a number of things you need to consider when deciding how to use and implement an AI-powered feature: 
+This article discusses Keywords and the key considerations for making use of this technology responsibly. There are a number of things you need to consider when deciding how to use and implement an AI-powered feature: 
 
 - Will this feature perform well in my scenario? Before deploying Keywords Extraction into your scenario, test how it performs using real-life data and make sure it can deliver the accuracy you need. 
 - Are we equipped to identify and respond to errors? AI-powered products and features will not be 100% accurate, so consider how you will identify and respond to any errors that may occur. 
diff --git a/articles/azure-video-indexer/labels-identification.md b/articles/azure-video-indexer/labels-identification.md
@@ -1,7 +1,7 @@
 ---
-title: Azure Video Indexer labels identification transparency note
+title: Azure Video Indexer labels identification overview
 titleSuffix: Azure Video Indexer 
-description: This article gives an overview of an Azure Video Indexer labels identification transparency note.
+description: This article gives an overview of an Azure Video Indexer labels identification.
 author: juliako
 ms.author: juliako
 manager: femila
@@ -20,7 +20,7 @@ Review [Transparency Note overview](/legal/azure-video-indexer/transparency-note
 
 ## General principles 
 
-This Transparency Note discusses labels identification and the key considerations for making use of this technology responsibly. There are many things you need to consider when deciding how to use and implement an AI-powered feature:
+This article discusses labels identification and the key considerations for making use of this technology responsibly. There are many things you need to consider when deciding how to use and implement an AI-powered feature:
 
 - Will this feature perform well in my scenario? Before deploying labels identification into your scenario, test how it performs using real-life data and make sure it can deliver the accuracy you need.
 - Are we equipped to identify and respond to errors? AI-powered products and features will not be 100% accurate, so consider how you will identify and respond to any errors that may occur.
diff --git a/articles/azure-video-indexer/named-entities.md b/articles/azure-video-indexer/named-entities.md
@@ -1,5 +1,5 @@
 ---
-title: Azure Video Indexer named entities extraction transparency note 
+title: Azure Video Indexer named entities extraction overview 
 titleSuffix: Azure Video Indexer 
 description: An introduction to Azure Video Indexer named entities extraction component responsibly.
 author: Juliako
@@ -20,7 +20,7 @@ Review [Transparency Note overview](/legal/azure-video-indexer/transparency-note
 
 ## General principles 
 
-This Transparency Note discusses named entities and the key considerations for making use of this technology responsibly. There are many things you need to consider when deciding how to use and implement an AI-powered feature:
+This article discusses named entities and the key considerations for making use of this technology responsibly. There are many things you need to consider when deciding how to use and implement an AI-powered feature:
 
 -	Will this feature perform well in my scenario? Before deploying named entities extraction into your scenario, test how it performs using real-life data and make sure it can deliver the accuracy you need.
 -	Are we equipped to identify and respond to errors? AI-powered products and features won't be 100% accurate, so consider how you'll identify and respond to any errors that may occur.
diff --git a/articles/azure-video-indexer/observed-matched-people.md b/articles/azure-video-indexer/observed-matched-people.md
@@ -1,5 +1,5 @@
 ---
-title: Azure Video Indexer observed people tracking & matched faces transparency note 
+title: Azure Video Indexer observed people tracking & matched faces overview 
 titleSuffix: Azure Video Indexer 
 description: An introduction to Azure Video Indexer observed people tracking & matched faces component responsibly.
 author: Juliako
@@ -25,7 +25,7 @@ Review [transparency note overview](/legal/azure-video-indexer/transparency-note
 
 ## General principles 
 
-This transparency note discusses observed people tracking and matched faces and the key considerations for making use of this technology responsibly. There are many things you need to consider when deciding how to use and implement an AI-powered feature:
+This article discusses observed people tracking and matched faces and the key considerations for making use of this technology responsibly. There are many things you need to consider when deciding how to use and implement an AI-powered feature:
 
 - Will this feature perform well in my scenario? Before deploying observed people tracking and matched faces into your scenario, test how it performs using real-life data and make sure it can deliver the accuracy you need.
 - Are we equipped to identify and respond to errors? AI-powered products and features will not be 100% accurate, so consider how you'll identify and respond to any errors that may occur.
diff --git a/articles/azure-video-indexer/ocr.md b/articles/azure-video-indexer/ocr.md
@@ -1,5 +1,5 @@
 ---
-title: Azure Video Indexer optical character recognition (OCR) transparency note 
+title: Azure Video Indexer optical character recognition (OCR) overview 
 titleSuffix: Azure Video Indexer 
 description: An introduction to Azure Video Indexer optical character recognition (OCR) component responsibly.
 author: Juliako
@@ -22,7 +22,7 @@ Review [transparency note overview](/legal/azure-video-indexer/transparency-note
 
 ## General principles 
 
-This transparency note discusses optical character recognition (OCR) and the key considerations for making use of this technology responsibly. There are a number of things you need to consider when deciding how to use and implement an AI-powered feature: 
+This article discusses optical character recognition (OCR) and the key considerations for making use of this technology responsibly. There are a number of things you need to consider when deciding how to use and implement an AI-powered feature: 
 
 - Will this feature perform well in my scenario? Before deploying OCR into your scenario, test how it performs using real-life data and make sure it can deliver the accuracy you need. 
 - Are we equipped to identify and respond to errors? AI-powered products and features won't be 100% accurate, so consider how you'll identify and respond to any errors that may occur. 
diff --git a/articles/azure-video-indexer/topics-inference.md b/articles/azure-video-indexer/topics-inference.md
@@ -1,5 +1,5 @@
 ---
-title: Azure Video Indexer topics inference transparency note 
+title: Azure Video Indexer topics inference overview 
 titleSuffix: Azure Video Indexer 
 description: An introduction to Azure Video Indexer topics inference component responsibly.
 author: Juliako
@@ -22,7 +22,7 @@ Review [transparency note overview](/legal/azure-video-indexer/transparency-note
 
 ## General principles 
 
-This transparency note discusses topics and the key considerations for making use of this technology responsibly. There are many things you need to consider when deciding how to use and implement an AI-powered feature:
+This article discusses topics and the key considerations for making use of this technology responsibly. There are many things you need to consider when deciding how to use and implement an AI-powered feature:
 
 - Will this feature perform well in my scenario? Before deploying topics inference into your scenario, test how it performs using real-life data and make sure it can deliver the accuracy you need.
 - Are we equipped to identify and respond to errors? AI-powered products and features won't be 100% accurate, so consider how you'll identify and respond to any errors that may occur.
diff --git a/articles/azure-video-indexer/transcription-translation-lid.md b/articles/azure-video-indexer/transcription-translation-lid.md
@@ -1,5 +1,5 @@
 ---
-title: Azure Video Indexer media transcription, translation and language identification transparency note 
+title: Azure Video Indexer media transcription, translation and language identification overview 
 titleSuffix: Azure Video Indexer 
 description: An introduction to Azure Video Indexer media transcription, translation and language identification components responsibly.
 author: Juliako
@@ -25,7 +25,7 @@ Review [transparency note overview](/legal/azure-video-indexer/transparency-note
 
 ## General principles 
 
-This transparency note discusses transcription, translation and language identification and the key considerations for making use of this technology responsibly. There are many things you need to consider when deciding how to use and implement an AI-powered feature:
+This article discusses transcription, translation and language identification and the key considerations for making use of this technology responsibly. There are many things you need to consider when deciding how to use and implement an AI-powered feature:
 
 - Will this feature perform well in my scenario? Before using transcription, translation and language Identification into your scenario, test how it performs using real-life data and make sure it can deliver the accuracy you need.
 - Are we equipped to identify and respond to errors? AI-powered products and features won't be 100% accurate, so consider how you'll identify and respond to any errors that may occur.
