Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Which principle would encompass the idea of providing reliable and safe AI systems?

1. Transparency

2. Accountability

3. Reliability and safety

4. Fairness

The correct answer is: Reliability and safety

The principle that best encompasses the idea of providing reliable and safe AI systems is reliability and safety. This principle emphasizes the importance of ensuring that AI systems perform consistently and accurately while also minimizing risks and safeguarding users. In practice, this involves rigorous testing, validation, and monitoring of AI systems to ensure they meet established performance metrics and adhere to safety standards. By prioritizing reliability and safety, organizations can foster trust in AI technologies and ensure they operate as intended without causing harm to users or the wider community. While other principles such as transparency, accountability, and fairness are also significant in the ethical deployment of AI, they serve different purposes. Transparency focuses on making AI processes understandable and visible to users; accountability emphasizes the responsibility of stakeholders for the outcomes of AI decisions; and fairness is concerned with preventing bias and ensuring equitable treatment of individuals across different demographics. However, reliability and safety specifically address the need for systems to function dependably and securely, making them essential for the overall trustworthiness of AI implementations.