Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsMedium
A startup is developing an AI-powered personal assistant designed to help users manage their daily tasks, schedule appointments, and answer general questions. The company wants to ensure the assistant provides helpful responses without promoting harmful stereotypes or exhibiting biases based on user demographics. Which Responsible AI guiding principle is most relevant to this concern?
- AFairness
- BReliability and Safety
- CTransparency
- DAccountability
Show answer & explanationAnswer & explanation
Correct answer: A. Fairness
Fairness in Responsible AI focuses on ensuring that AI systems treat all individuals and groups equitably, without perpetuating or amplifying biases and stereotypes, which directly addresses the concern about harmful stereotypes and demographic biases.
Why the other options are wrong
- B. Reliability and Safety focuses on the AI system performing as intended and without causing harm, not primarily on social biases.
- C. Transparency is about understanding how an AI system works and its decisions, not directly about bias in outputs.
- D. Accountability is about establishing responsibility for AI system outcomes, not the inherent biases within the system's responses.
Responsible AI: Fairness
Ensuring AI systems treat all people fairly and equitably, without discriminating against individuals or groups based on sensitive attributes.
- Prevents amplification of historical biases.
- Requires careful data selection and model training.
- Aims for equitable outcomes across diverse user groups.
Memory trick: An AI system must be FAIR to all, or it will fall.