What is 'responsible AI' in the context of TELUS transformation?

• A. AI that operates without any human oversight.
• B. A framework ensuring transparency, fairness, privacy, accountability, and compliance in AI solutions.
• C. AI that solely focuses on speed to deploy.
• D. Disregard regulatory compliance for faster results.

Answer: (B)

Responsible AI is about building AI systems that are transparent, fair, private, accountable, and compliant. In TELUS transformation, this means governance and safeguards are baked into every stage—from design to deployment—so decisions are explainable and auditable, potential biases are detected and mitigated, and data is handled with privacy by design and proper consent. It also means clear ownership and oversight for AI initiatives, ongoing monitoring for risk and impact, and alignment with regulatory and internal policies to ensure ethical use of technology.

Why this is the best fit: it captures the holistic approach TELUS seeks—not just faster or smarter AI, but AI done in a way that customers can trust, with responsible handling of data, measurable fairness, and accountability. The other options describe extremes (no human oversight, speed over safeguards, or ignoring regulations) that would undermine trust, legality, and long-term value.