What is the concept of Responsible AI within TELUS transformation?

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Multiple Choice

What is the concept of Responsible AI within TELUS transformation?

Explanation:
Responsible AI is the umbrella approach TELUS uses to govern and guide AI initiatives across the transformation. It means putting governance, policies, and controls in place so AI systems are designed, developed, and deployed with accountability and safeguards. This includes ethical considerations, fairness to avoid bias, transparency about how decisions are made, and protection of privacy and security, all while ensuring reliability and safety and aligning with applicable laws and internal standards. In practice, it covers the entire lifecycle—from data governance and model development to deployment, monitoring, and auditing—so AI delivers value without unintended risk. The other terms point to important pieces (ethics, bias, or compliance) but they don’t capture the holistic, governance-centered approach that Responsible AI represents.

Responsible AI is the umbrella approach TELUS uses to govern and guide AI initiatives across the transformation. It means putting governance, policies, and controls in place so AI systems are designed, developed, and deployed with accountability and safeguards. This includes ethical considerations, fairness to avoid bias, transparency about how decisions are made, and protection of privacy and security, all while ensuring reliability and safety and aligning with applicable laws and internal standards. In practice, it covers the entire lifecycle—from data governance and model development to deployment, monitoring, and auditing—so AI delivers value without unintended risk. The other terms point to important pieces (ethics, bias, or compliance) but they don’t capture the holistic, governance-centered approach that Responsible AI represents.

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