Values and ethics shape digital technologies by influencing what designers prioritize, whose needs they consider, and which risks they accept. In IB Digital Society, the precise term is digital systems, and this topic applies to both SL and HL.
How Values Become Design Choices
Values are beliefs about what matters, such as privacy, accessibility, safety, profit, freedom, or fairness. Ethics provides ways to distinguish right from wrong, fair from unfair, and just from unjust.
These principles influence how designers define problems, collect data, set algorithmic objectives, select default settings, and communicate how systems work. Such choices distribute power among companies, users, governments, and affected non-users.
| Ethical concern | Possible design choice | Potential tension |
|---|---|---|
| Privacy | Data minimization and encryption | Less personalization |
| Accessibility | Captions and screen-reader support | Additional development resources |
| Safety | Content moderation | Restricted expression |
| Fairness | Testing across demographic groups | Conflicting definitions of fairness |
| Profit | Engagement-optimizing recommendations | Exposure to harmful content |
A common misconception is that digital systems are neutral because they use mathematics. Algorithms reflect human choices about objectives, categories, training data, and acceptable error rates.
Real-World Example
System: Apple's App Tracking Transparency controls access to identifiers used for tracking across apps and websites. Example specifics: Introduced with iOS 14.5 in 2021, it requires apps to request permission before tracking users.
Impacts and implications: Users gained more control over personal data, while advertisers reported reduced access to tracking information. The design offers stronger privacy but may concentrate power in Apple, which controls the platform and its rules. This demonstrates how consent, commercial interests, privacy, and platform power interact.
Exam Technique
For an explain question, connect a value to a design choice and consequence. For discuss or evaluate, examine competing stakeholders, distinguish observed impacts from future implications, and reach a balanced, evidence-supported conclusion. Concepts should shape the analysis, not appear as unsupported labels.
