Exam AI-102 topic 1 question 6 discussion

B and C are correct answers.

BC is the answer. https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#fairness Fairness is a core ethical principle that all humans aim to understand and apply. This principle is even more important when AI systems are being developed. Key checks and balances need to make sure that the system's decisions don't discriminate or run a gender, race, sexual orientation, or religion bias toward a group or individual. https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#inclusiveness 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.

Fairness Avoiding bias, ensuring equal treatment Inclusiveness Ensuring access, representation, and equal participation

Fairness is CORRECT because it ensures that AI systems provide equitable outcomes and do not discriminate against any individual or group. Monitoring the sales system for equitable results based on user location or background aligns directly with the principle of fairness. Inclusiveness is CORRECT because it aims to engage and empower people of all backgrounds. Ensuring that the sales system works well for users regardless of their location or background aligns with the principle of inclusiveness. BC are correct

Why not A&B? Transparency Transparency in Azure Machine Learning: The model interpretability and counterfactual what-if components of the Responsible AI dashboard enable data scientists and developers to generate human-understandable descriptions of the predictions of a model fairness - no comment. it is clear.

It must be B and C.

BC is obviously correct

B. Fairness: This principle is about ensuring that the AI system provides equitable results regardless of a user’s location or background. It involves minimizing bias in the AI system’s outcomes and providing equal opportunities for all users. C. Inclusiveness: This principle is about designing AI systems that are accessible and usable by the widest possible range of people, regardless of their location or background. It involves considering the diverse characteristics of potential users during the design and deployment of the AI system.

B and C

The requirements to not mention reliability and safety, only that the users are treated equally regardless of their characteristics or background.

En la pregunta claramente hablan sobre Equidad y la inclusión al abordar que debe ser independiente de la ubicación

transparency (A) is important for making the operations of AI systems understandable to users, and reliability and safety (D), along with privacy and security (E), are crucial for ensuring the system's dependable operation, user safety, and data protection, fairness and inclusiveness are specifically targeted towards ensuring equitable results and addressing the monitoring requirements stated in your scenario.

A and B 100%, key word is to Monitor Transparency means you should be clear about how the system works and how it makes decisions, so you can monitor the results and ensure that they're not biased against any particular group of users. And fairness means that the system should be designed to treat all users equally, regardless of their location or background. By monitoring the system to ensure that it's transparent and fair, you can help to prevent any unintended biases or discrimination in the results. It's all about being ethical and responsible in the development and use of AI systems.

Fairness (equity) and Inclusiveness (regardless locations and backgrounds)

B, C are correct

ChatGPT answer : The two responsible AI principles that provide guidance to meet the monitoring requirements are B. fairness and C. inclusiveness. Fairness is the principle of ensuring that AI systems do not discriminate against any group or individual. In this scenario, monitoring the sales system to ensure equitable results regardless of the user's location or background helps to meet the fairness principle. Inclusiveness is the principle of ensuring that AI systems are designed to be accessible to all users, regardless of their individual characteristics or abilities. Monitoring the sales system to ensure equitable results helps to meet the inclusiveness principle by ensuring that the system is not excluding or discriminating against any particular group or individual.

According to me, A and B