An organization is developing an AI ethics review process. At which stage of the AI development lifecycle should ethics review occur to be MOST effective?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because ethics risks arise and can be most cost-effectively addressed at each lifecycle stage — at ideation (use case ethics), data (bias in collection), development (algorithm fairness), pre-deployment (impact assessment), and post-deployment (monitoring for ongoing harms). A is reactive and cannot prevent embedded harms.
Full explanation below image
Full Explanation
B is correct because ethics risks arise and can be most cost-effectively addressed at each lifecycle stage — at ideation (use case ethics), data (bias in collection), development (algorithm fairness), pre-deployment (impact assessment), and post-deployment (monitoring for ongoing harms). A is reactive and cannot prevent embedded harms. C misidentifies data collection as the only risk stage. D catches only pre-deployment issues and misses upstream risks that are expensive to remediate late.