Creating responsible AI demands considering how technologies like voice recognition could unintentionally exclude people. Learn how Microsoft’s inclusiveness principle guides ethical AI.
Table of Contents
Question
Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups. This an example of which Microsoft guiding principle for responsible AI?
A. accountability
B. fairness
C. inclusiveness
D. privacy and security
Answer
C. inclusiveness
Explanation
The correct answer is C. Inclusiveness. This is an example of applying the inclusiveness principle for responsible AI.
Inclusiveness means that AI systems should empower everyone and engage people. This principle involves designing AI systems that are accessible, respectful, and understandable to diverse users, and that can address the needs and expectations of different groups and communities. Inclusiveness also means involving diverse stakeholders in the development and deployment of AI systems, and ensuring that they can participate in the benefits and opportunities of AI.
By exploring the use of voice recognition technologies in its smart home devices, the company is following the inclusiveness principle. Voice recognition is a type of natural language processing (NLP) that enables AI systems to understand and respond to human speech. Voice recognition can enhance the user experience and accessibility of smart home devices, especially for people who have difficulties with touch or vision. However, voice recognition also poses challenges for inclusiveness, such as:
- How to ensure that the voice recognition system can accurately recognize different languages, dialects, accents, and speech patterns of users?
- How to ensure that the voice recognition system can handle background noise, interruptions, and overlapping speech of users?
- How to ensure that the voice recognition system can respect the privacy, security, and consent of users when recording and processing their voice data?
- How to ensure that the voice recognition system can provide feedback and guidance to users who are unfamiliar or uncomfortable with using voice commands?
By identifying any barriers that might unintentionally leave out specific user groups, the company is demonstrating its commitment to inclusiveness. The company is trying to understand the needs and expectations of its diverse customers, and to design voice recognition systems that are accessible, respectful, and understandable to them. The company is also trying to involve diverse stakeholders, such as developers, testers, and users, in the development and deployment of voice recognition systems, and to ensure that they can participate in the benefits and opportunities of voice recognition.
References
Microsoft Docs > Learn > Browse > Identify guiding principles for responsible AI
Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.
