Dive into the core principles of Responsible AI, focusing on the importance of embedding ethical values like transparency and fairness in AI systems for ethical and beneficial outcomes. Discover how Responsible AI shapes the future of technology.
Table of Contents
Question
What is the primary goal of Responsible AI?
A. Ensuring AI decisions use the least amount of data possible.
B. Embedding ethical principles like transparency and fairness in AI systems.
C. Distributing manual tasks to human workers in a timely manner.
Answer
B. Embedding ethical principles like transparency and fairness in AI systems.
Explanation
Responsible AI focuses on incorporating ethical principles into the development and deployment of AI systems. Key principles include transparency, fairness, accountability, and the mitigation of bias.
Responsible AI is a broad term that encompasses various aspects of AI development and deployment, including transparency, fairness, security, privacy, and accountability. It aims to ensure that AI systems are developed and used in a manner that is ethical, respects human rights, and benefits all stakeholders. This includes making sure that AI systems provide clear explanations for their decisions (transparency), do not discriminate or create bias (fairness), protect user data (privacy), and can be held accountable for their actions.
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