You have a Language Understanding resource named lu1. You build and deploy an Azure bot named bot1 that uses lu1. You need to ensure that bot1 adheres to the Microsoft responsible AI principle of inclusiveness. How should you extend bot1?
I disagree with JTWang because Direct Line Speech lets the bot speak outloud. This supports Microsoft's goal of AI Inclusiveness because you can include people with disabilities.
Agreed the answer should be D, which would people who don't text.
Active learning would improve the overall quality, but not necessary make it more inclusive.
Answer is B: user can participate the content of QnA knowledge base
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/use-active-learning
The Active learning suggestions feature allows you to improve the quality of your knowledge base by suggesting alternative questions, based on user-submissions, to your question and answer pair. You review those suggestions, either adding them to existing questions or rejecting them.
B. Enable active learning for lu1.
Explanation:
Active learning is a mechanism that allows the Language Understanding (LU) service to improve over time by actively seeking feedback from users.
By enabling active learning for lu1, the bot can continuously learn from interactions with users, improving its understanding and inclusiveness over time.
While options like implementing authentication, hosting lu1 in a container, or adding Direct Line Speech may be relevant for other aspects of the bot's functionality, enabling active learning directly addresses the goal of improving inclusiveness through continuous learning and adaptation.
D. Add Direct Line Speech to bot1.
A, B, and C might be useful for other purposes, they do not directly contribute to the principle of inclusiveness. Authentication (A) is more about security, active learning (B) is about improving the bot’s understanding over time, and hosting in a container. (C) is about deployment flexibility. None of these directly enhance the inclusiveness of the bot.
The correct answer is D because it can help include people who are unable to interact with limbs
https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/direct-line-speech
D is the answer.
https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/direct-line-speech
Direct Line Speech is a robust, end-to-end solution for creating a flexible, extensible voice assistant. It is powered by the Bot Framework and its Direct Line Speech channel, that is optimized for voice-in, voice-out interaction with bots.
Voice assistants listen to users and take an action in response, often speaking back. They use speech to text to transcribe the user's speech, then take action on the natural language understanding of the text. This action frequently includes spoken output from the assistant generated with text to speech.
Enabling Direct Line Speech for bot1 would improve accessibility by providing users with the ability to interact with the bot using natural language and speech. Therefore, D is a valid option to ensure that bot1 adheres to the Microsoft responsible AI principle of inclusiveness.
No, because even if enabling active learning could improve the bot answers over time with more accurate understanding of questions... it does not help people that are not able to use a textual bot.
Question is about how to include larger audience, like blind users or others, not how to improve bot quality
so D is the right one
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