You are building an AI-based loan approval app.You need to ensure that the app documents why a loan is approved or rejected and makes the report available to the applicant.This is an example of which Microsoft responsible AI principle?
Answer(s): A
Transparency: AI systems should be transparent and understandable. AI systems might help inform decisions that have great impact on people's lives, so it's important that people understand how these decisions are made.
https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai
Verifying that machine learning models do NOT show racial or gender bias is an example of which Microsoft responsible AI principle?
Answer(s): C
Fairness and inclusiveness in Azure Machine Learning: The fairness assessment component of the Responsible AI dashboard enables data scientists and developers to assess model fairness across sensitive groups defined in terms of gender, ethnicity, age, and other characteristics.
https://learn.microsoft.com/en-us/azure/machine-learning/concept-responsible-ai?view=azureml-api-2
HOTSPOT (Drag and Drop is not supported)Select the answer that correctly completes the sentence.Hot Area:
Box: reliability and safety When developing an AI system for self-driving cars, the Microsoft __________ principle for responsible AIshould be applied to ensure consistent operation of the system during its lifespan.The Microsoft Reliability and Safety principle for responsible AI should be applied to self-driving cars to ensure consistent operation and mitigate risks. This principle mandates that AI systems must be developed to be dependable and perform as intended, even when facing unexpected situations, making it crucial for a system where a minor error could have severe outcomes. Consistent operation: Self-driving car AI must operate reliably and consistently under both normal and unexpected conditions.Robust safety measures: The principle requires rigorous testing and validation to ensure the system responds safely to edge cases and avoids unexpected performance failures.Preventing harm: The goal is to avoid creating harm by developing the system in alignment with its design ideas and values, which includes resisting manipulation.
https://support.microsoft.com/en-us/topic/what-is-responsible-ai-33fc14be-15ea-4c2c-903b-aa493f5b8d92
DRAG DROP (Drag and Drop is not supported)Match the principles of responsible AI to appropriate requirements.To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.Note: Each correct selection is worth one point.Select and Place:
Box 1: Fairness Fairness (or non-discrimination/equity) is the responsible AI principle that applies when a system must not discriminate based on gender, race, or age. This principle ensures the AI treats all people fairly and does not create or copy unfair bias.Box 2: Privacy and security Privacy and security is the responsible AI principle that best fits when personal data must be visible only to approved users.Data Protection: It requires safeguarding user data from unauthorized access.Access Control: It ensures only authenticated and authorized users view sensitive information.Trust Safeguards: It prevents data leaks and maintains user confidentiality.Box 3: Transparency The Transparency responsible AI principle requires that artificial intelligence systems and their operations are open, understandable, and properly disclosed so that users and stakeholders know when they are interacting with AI, how decisions are made, and what the system's limitations are.
Box: computer vision Counting the number of animals in an area using a video feed is a classic application of computer vision and object detection.How It WorksFrame capture: The system takes video frames as digital images.Object detection: AI models locate and draw bounds around each animal.Tracking and counting: Algorithms count the distinct objects across frames.
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