Azure DP-100 Practice Exam

Question: 1 / 400

Why is Responsible AI important in machine learning?

It guarantees the best performance of AI models

It ensures AI systems are ethical and unbiased

Responsible AI is crucial in machine learning because it addresses ethical considerations and the mitigation of bias in AI systems. As machine learning models are increasingly integrated into various aspects of society, ensuring that these systems are designed and deployed in a fair and transparent manner is vital. This means creating AI systems that respect human rights, uphold fairness, and strive to avoid biases that could lead to discrimination or harm.

The focus on ethical AI practices helps developers and organizations create systems that not only perform well but also maintain public trust and respect. Responsible AI practices involve implementing frameworks that guide the ethical use of data, model transparency, and accountability in AI-driven decisions. Hence, ethical and unbiased AI system design is foundational to fostering trust and usability in AI technologies.

Get further explanation with Examzify DeepDiveBeta

It focuses solely on cost reduction

It prioritizes speed of implementation

Next Question

Report this question

Download Azure DP-100 Practice Exam PDF Study Guide
Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy