AC9TDI10P10

Elaborations

• AC9TDI10P10_E1evaluating how an existing solution detects violations of site rules and imposes sanctions as described in the Safety by Design Vision for Young People, for example enforcing rules using artificial intelligence and human moderators to detect inappropriate behaviour, and consistently imposing consequences
• AC9TDI10P10_E2judging the quality of the output of their solution against the design criteria, for example confirming that the stock levels recorded by their inventory management application are accurate within allowed parameters
• AC9TDI10P10_E3evaluating how existing products have pivoted to meet the needs of a different set of users, for example how new social media applications continue to expand the types of media people share and the interactions they have online
• AC9TDI10P10_E4examining the unintended consequences of an image generation solution implemented using AI; for example, using a model trained on a homogenous population to generate graphics that do not represent the diversity of customers in a website’s target audience
• AC9TDI10P10_E5considering the complexities associated with training predictive models to capture events that occur with low probability; for example, in training data for an autonomous vehicle, including a person lying on the road and the correct behaviour for that situation