What role do you believe AI ethics should play in the product development process?
Instruction: Discuss your perspective on integrating ethical considerations into the AI product development lifecycle.
Updated
Example Answer
Ethics should influence what we build, the limits of its use and how we respond to harm throughout the lifecycle. During discovery I would identify affected people, potential benefits, exclusions and harms, including people who do not directly use the product. Some uses should be narrowed or rejected before technical work begins.
During design and development, translate those concerns into data-purpose limits, supported-use boundaries, relevant fairness tests, accessible alternatives and decision ownership. Representative data helps coverage, but biased labels, proxy features and the surrounding workflow can still cause harm. An understandable explanation is not proof of fairness.
Before launch, test complete workflows and document missing evidence and residual risks. Give the appropriate product, domain, privacy and security owners explicit authority to restrict release. A review board can help coordinate decisions; it does not replace those responsibilities.
After launch, monitor meaningful errors and complaints, support correction and appeal where appropriate, and define escalation, pause and retirement criteria. Update the review when the model, data, intended use or affected population changes. Voluntary risk frameworks can organize this work; they do not certify legal compliance.