Microsoft’s responsible AI principles provide guidance for creating ethical, trustworthy AI systems. Learn how a focus on inclusiveness enables AI to empower people regardless of ability.
You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments. This is an example of which Microsoft guiding principle for responsible AI?
C. reliability and safety
The correct answer is B. 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 designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments, you are following the inclusiveness principle. You are trying to make your AI system more accessible and respectful to users who have different abilities and preferences, and who may face barriers or challenges when using technology. You are also trying to address the needs and expectations of these users, and to provide them with a positive and engaging user experience. You are also involving diverse stakeholders, such as developers, testers, and users, who have different perspectives and insights on how to create an inclusive AI system.
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Inclusiveness: At Microsoft, we firmly believe everyone should benefit from intelligent technology, meaning it must incorporate and address a broad range of human needs and experiences. For the 1 billion people with disabilities around the world, AI technologies can be a game-changer.
Microsoft Learn > Training > Browse > Identify guiding principles for responsible AI
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