Practice a Create-Performance-Task-style written response about the effects of computing, bias, and safe computing. Write your response, then reveal the model answer to see exactly what earns each point.
Note: The AP CSP exam is all multiple-choice; extended writing appears in the Create Performance Task. This question gives you practice with that style of written response.
A city releases a new app that uses computing to recommend the fastest public-transit routes. It collects each user's location and travel history to improve its recommendations.
A beneficial effect is that riders save time and travel more efficiently, which can also reduce congestion and encourage the use of public transit. A harmful effect is that collecting each user's location and travel history creates a privacy risk — the data could be misused, shared, or breached, exposing where people live and go. This harmful effect is most likely unintended, since the creators' goal was to improve routing, not to endanger privacy.
This reflects the digital divide: people in low-income neighborhoods may have less access to smartphones or data plans, so fewer of them use the app. Because the app improves from the data it collects, it gathers less data from those areas, which leads to computing bias — the recommendations become systematically worse for low-income riders. The unequal access produces unfair outcomes, reinforcing existing inequalities.
First, the city could protect the collected data with encryption and strong access controls, and secure user accounts with multifactor authentication, so that location and travel data cannot be easily stolen or misused. Second, it could minimize and be transparent about data collection — gathering only what is needed, letting users consent to and opt out of tracking, and clearly explaining how the data is used. Together these steps reduce privacy risks while still letting the app provide its benefit.