Gender, race, age and ability intersect with digital systems because these aspects of identity influence access, representation and treatment, while digital systems can reinforce or challenge existing inequalities. This is shared SL and HL content within the social context.
Intersectionality means that identity characteristics combine rather than operate separately. For example, an older woman with a visual impairment may encounter barriers shaped simultaneously by age, gender and ability. Her experience cannot be understood by examining only one characteristic.
| Identity dimension | Possible intersection with digital systems |
|---|---|
| Gender | Biased training data may reproduce gender stereotypes in recruitment, advertising or image-generation systems. |
| Race | Facial-recognition performance may vary between demographic groups because datasets and design processes are not neutral. |
| Age | Children may face privacy risks, while older people may experience exclusion when essential services become digital-only. |
| Ability | Inaccessible interfaces can exclude users, while screen readers, captions and voice control can increase participation. |
These outcomes involve power because designers, platforms and institutions determine which users are represented and whose needs receive attention. They also involve values and ethics, including fairness, accessibility, privacy and responsibility.
A common misconception is that digital systems affect everyone in the same way. In reality, effects depend on social position, system design, available infrastructure and whether affected people and communities were included in development. The same system can therefore create opportunities for one group while producing barriers for another.
In an IB response, distinguish impacts, effects that have already occurred, from implications, future opportunities and risks. For an explain question, connect an identity characteristic to a feature of a digital system and then show the resulting effect. For an evaluate or discuss question, compare multiple stakeholders, consider benefits and harms, and avoid treating gender, race, age or ability as isolated categories.
