How does TELUS ensure ethical considerations in AI product design?

• A. Policies, ethics reviews, bias testing, stakeholder engagement, and ongoing monitoring.
• B. Policies and bias testing only.
• C. No formal ethics process is required.
• D. Ethics are considered only after deployment.

Answer: (A)

Ethical AI product design requires an end-to-end approach that builds guardrails into policy, governance, and practice from the start and maintains them over time. TELUS adopts a comprehensive framework that includes policies to set clear standards, ethics reviews to assess potential harms and trade-offs before development, bias testing to uncover unfair or discriminatory outcomes, stakeholder engagement to bring in diverse perspectives, and ongoing monitoring to identify and address issues once the product is in use. This combination ensures ethics are embedded throughout the lifecycle rather than treated as an afterthought. The other options fall short because they miss one or more of these essential elements—focusing only on some aspects, denying the need for formal ethics processes, or delaying ethics until after deployment.