Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsHard
A company is developing an AI-powered virtual assistant for customer service. The assistant must be able to understand and respond to customer queries spoken in various accents and dialects, and also be accessible to users with speech impediments. Which responsible AI principle is most relevant to ensuring this broad accessibility?
- AInclusiveness
- BTransparency
- CAccountability
- DFairness
Show answer & explanationAnswer & explanation
Correct answer: A. Inclusiveness
Inclusiveness in AI aims to ensure that AI systems empower everyone and engage people of all abilities and backgrounds. Supporting various accents, dialects, and speech impediments directly addresses the goal of making the virtual assistant accessible and usable by a diverse range of individuals.
Why the other options are wrong
- B. Transparency focuses on explaining AI decisions, not on accommodating diverse user input methods.
- C. Accountability assigns responsibility, but doesn't dictate the design for broad accessibility.
- D. Fairness addresses bias and discrimination, which is different from ensuring broad accessibility to users with diverse speech patterns.
Responsible AI: Inclusiveness
Ensuring AI systems empower everyone and engage people of all abilities and backgrounds.
- Aims for accessibility, usability, and broad participation.
- Considers diverse linguistic, cultural, and physical needs.
- Prevents exclusion of certain user groups.
Memory trick: AI should INCLUDE everyone, no matter their voice or background.