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AI-900: Empowering Diversity: Microsoft’s Inclusiveness Principle in AI Pricing Strategies

Dive into the world of responsible AI with Microsoft’s inclusiveness principle. Uncover how an AI solution, tailored to different sales territories, exemplifies inclusivity in pricing. Explore the revolutionary approach shaping fair and inclusive practices, redefining the landscape of artificial intelligence.

Question

An AI solution that is offered at different prices for different sales territories is an example of the Microsoft inclusiveness principle for responsible AI.

A. Yes
B. No

Answer

B. No

Explanation

Inclusiveness mandates that AI should consider all human races and experiences, and inclusive design practices can help developers to understand and address potential barriers that could unintentionally exclude people. Where possible, speech-to-text, text-to-speech, and visual recognition technology should be used to empower people with hearing, visual, and other impairments.

The correct answer is B. No. An AI solution that is offered at different prices for different sales territories is not an example of the Microsoft inclusiveness principle for responsible AI.

The Microsoft inclusiveness principle for responsible AI states that “Microsoft’s AI systems should empower and engage communities around the world, and to do this, we partner with under-served minority communities to plan, test, and build AI systems.” This principle aims to ensure that AI systems are designed and developed with the needs and perspectives of diverse groups of people, especially those who are marginalized or underrepresented, in mind. Inclusive design practices can help developers understand and address potential barriers that could unintentionally exclude people from using or benefiting from AI systems.

An AI solution that is offered at different prices for different sales territories is not related to the inclusiveness principle, but rather to the business strategy and pricing policy of the AI provider. Such a solution may or may not be inclusive, depending on how it is designed, developed, and deployed. For example, if the AI solution is tailored to the local language, culture, and context of each sales territory, it may be more inclusive than a one-size-fits-all solution. However, if the AI solution discriminates or disadvantages certain groups of customers based on their location, income, or other factors, it may be less inclusive and fair. Therefore, the price of the AI solution is not a sufficient indicator of its inclusiveness.

References

Microsoft Docs > Azure > Cloud Adoption Framework > Adopt > Innovate > Responsible and trusted 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.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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