Which of the following are considered the 3 R’s of AI?

The correct response highlights the importance of the 3 R's of AI as Relevant, Reliable, and Responsible.

Relevance refers to the necessity for AI systems to provide outputs that are contextually appropriate and useful to the end-users or stakeholders. Ensuring that the AI is relevant helps in aligning its capabilities with actual needs, enhancing its practical application in various domains.

Reliability signifies the expectation that AI systems will perform consistently over time and produce trustworthy results. Reliable AI can empower users to make informed decisions based on the outputs it generates, which is critical for applications in sensitive areas like healthcare or autonomous driving.

Responsibility emphasizes the ethical and social obligations associated with deploying AI technologies. This aspect involves safeguarding against biases, ensuring accountability, and promoting fairness in decision-making processes influenced by AI systems. Responsible AI practices are essential to build trust among users and comply with regulatory frameworks.

The other options do not encapsulate the key principles guiding ethical and effective AI development as accurately as the three concepts of relevance, reliability, and responsibility.