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NotesDigital Society HLTopic 3.2
Unit 3 · Content · Topic 3.2

IB Digital Society HL — Algorithms

Algorithms

Higher Level students should use this topic hub as a map: start with the shared sub-topics, then follow the HL-only extensions and exam-skill links where this topic asks for deeper analysis.

Exam technique guidePractice questions

Key concepts in Algorithms

Key Idea: An algorithm is a finite, ordered set of unambiguous instructions. The examinable point is that sorting, searching, filtering and classifying do very different things to a person, and only one of them is visible afterwards.

Paper 1

  • Part a: define an algorithm, or identify its components
  • Part b: explain why a threshold is a decision somebody made
  • Part c: evaluate algorithmic decision-making about people

Paper 2

  • Q2: analyse a source's claim about an automated decision
  • Q3: compare sources on consistency and discretion
  • Q4: synthesise sources on hiring or scoring

Everywhere else

  • AI: a learned rule is still an algorithm nobody wrote
  • Power: the threshold is where power becomes a number
  • Health and politics: filtering decides who is reached

Four operations, four different consequences

OperationWhat it does to a personVisible afterwards?
SortingChanges their position; everybody staysYes — they are still in the list
SearchingAnswers a question about one of themYes
FilteringRemoves them from what followsNo — the excluded and the absent look identical
ClassifyingAttaches a label that travelsPartly — the label outlives the estimate
Filtering leaves no trace for anybody downstream, so the effect of moving a threshold cannot be observed from the outcomes. The only way to examine it is to inspect the rule before it runs.

Consistency is a gain and a risk

Both halves are true at once

  • The gain — the outcome no longer depends on who was on duty, which removes a real form of unfairness.
  • The risk — a rule that is wrong for a particular person is wrong for them every single time, with nobody able to make an exception.
  • The consequence — errors stop being random and become systematic, which makes them larger in total and harder to notice one at a time.
Important: The outcome is produced by a chain — the data, the objective, the deployment, the use — and no single link decided the specific result, so each participant can truthfully say they did not choose it.

Exam-style questions

IB-style questionCompare[6 marks]

Compare the effect of sorting and classifying on the people a system processes.

🔒 Model answer plan

See the mark-by-mark plan — for / against / judgement, with marking guidance — in study mode.

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IB-style questionJustify[6 marks]

Justify the claim that an algorithm should be examined before it runs rather than judged by its outcomes.

🔒 Model answer plan

See the mark-by-mark plan — for / against / judgement, with marking guidance — in study mode.

Claim your free topic →

Quick check

Which operation is invisible? Filtering. Nobody downstream can tell the excluded from the absent.

Why is a threshold a decision? Somebody chose the number, and it appears in the system as a fact rather than as a judgement.

Why is consistency also a risk? An error stops being random and becomes systematic — wrong for the same person every time.

Where does responsibility go? Into a chain where no single link chose the specific outcome, so the harm has no owner.

Exam tips

  • Say which operation a system performs. 'The algorithm decides' is not an answer.
  • Filtering is the one with teeth. Reach for it whenever a question is about who was excluded.
  • Publishing code is not transparency if the people affected cannot read it.

What you'll learn in Topic 3.2

  • 3.2.1 Characteristics
  • 3.2.2 Components
  • 3.2.3 Representing algorithms
  • 3.2.4 Uses of algorithms
  • 3.2.5 Algorithmic dilemmas
Suggested study order: Read the notes for each sub-topic below → test yourself with flashcards → attempt practice questions → review exam technique.

Study resources — 3.2 Algorithms

3.2.1

Characteristics

Notes
3.2.2

Components

Notes
3.2.3

Representing algorithms

Notes
3.2.4

Uses of algorithms

Notes
3.2.5

Algorithmic dilemmas

Notes

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Topic 3.2 Algorithms forms a core part of Unit 3: Content in IB Digital Society HL. Mastering these concepts will strengthen your understanding of connected topics across the syllabus and prepare you for exam questions that require analysis, evaluation, and real-world application.

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