A new technology might produce unintended consequences when it changes a system of interacting people, data, institutions and environments in ways its designers did not fully predict. The original purpose may be beneficial, but the technology can create new risks, shift power or encourage behaviour that was not intended.
The IB Digital Society concept of systems requires students to examine interdependent elements rather than treating technology as an isolated object. The mechanism can be explained step by step:
- Designers introduce a digital system to achieve an intended outcome, such as convenience, safety or efficiency.
- People and communities adapt their behaviour around it. These responses may differ between users, non-users, organizations and governments.
- The system interacts with existing institutions, data and incentives. This can create feedback loops, dependencies or unequal effects.
- A consequence emerges that was not part of the original design. It may affect stakeholders differently, producing both opportunities and risks.
A specific example is Strava’s fitness-tracking heatmap. The system aggregated and displayed users’ exercise routes to help people analyse activity patterns. However, in 2018, the visualization also revealed movement patterns around some military sites. The impact was that location information could become more visible than individual users expected. The implication was a broader privacy and security risk: aggregated data may still disclose sensitive patterns when enough records are combined.
This example shows why data is not automatically harmless because it is anonymized or aggregated. It also demonstrates power, because the platform controlled how data was collected and displayed, and values and ethics, because users, organizations and public authorities could disagree about convenience, consent and security.
In an IB response, explain the chain from intended purpose to system interaction to unintended consequence. Do not simply state that “technology causes problems.” Name the affected people and communities, distinguish impacts from implications, and use a specific real-world example to support the analysis. This directly addresses the prescribed understanding that changes within interconnected systems may generate intended and unintended consequences.