Chapter 10 — Ethics and data
Lesson map
Lesson 10 published. Map, example, EX028.
flowchart TD
N0["Learning outcomes"]
N1["10.1 Beyond the law"]
N2["10.2 Effects on groups"]
N3["10.3 Frameworks"]
N4["10.4 Ethics in governance"]
N0 --> N1 --> N2 --> N3 --> N4
N4 --> EX["Worked example"]
EX --> Q["Exercise EX028"]
Logical drawing
flowchart LR
N0["Learning outcomes"]
N1["10.1 Beyond the law"]
N2["10.2 Effects on groups"]
N3["10.3 Frameworks"]
N4["10.4 Ethics in governance"]
N0 --> N1 --> N2 --> N3 --> N4 --> Q["EX028"]
[Learning outcomes]
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v
[10.1 Beyond the law]
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v
[10.2 Effects on groups]
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v
[10.3 Frameworks]
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v
[10.4 Ethics in governance]
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v
[Worked example] --> [Exercise EX028]
Learning outcomes
You will (1) apply ethical reasoning to data uses; (2) consider effects on different groups; (3) explain the role of ethics alongside law.
10.1 Beyond the law
Some data uses are legal but questionable. Harbourline's marketing team proposes using purchase patterns to infer which members are pregnant and send baby product offers. Amara considers whether members would expect this, whether it could cause harm if offers reached a household before the person chose to share news and whether the benefit justifies the risk. She concludes that legality is a minimum, and that governance should also ask whether a use is fair and expected. Marketing pauses the proposal for review.
10.2 Effects on groups
Amara examines a proposal to offer discounts only to members using the mobile app. Older members and those without smartphones would lose out. She checks synthetic member data and finds app users are mostly younger. She suggests offering the same discounts through printed vouchers at tills. She learns that data-driven decisions can disadvantage groups without anyone intending it, and that checking effects across groups should be routine before launching such schemes. Marketing adopts the voucher option for the next campaign. Older members welcome it.
10.3 Frameworks
Dr. Lindqvist introduces simple frameworks: consider the consequences for all affected, respect people's autonomy and expectations, treat groups fairly and be transparent about practices. Amara applies them to the pregnancy inference proposal and writes a short assessment recommending against it. Marketing accepts a revised plan offering baby product discounts to members who choose a family interest in their profile. She notes that frameworks help structure discussion rather than producing automatic answers. Her assessment is kept as an example for future reviews. Marketing agrees.
10.4 Ethics in governance
Amara proposes that Harbourline's data governance group review new data uses that raise ethical questions, using a short checklist. The group would include staff from marketing, stores and data protection. She notes that ethical review works best early, before campaigns are designed, and that it should be quick for low-risk uses. Dr. Lindqvist adds that organisations trusted with data must earn that trust continuously through their choices. The governance group pilots the checklist for three months and finds that most reviews take less than an hour.
Worked example
Amara assesses a pregnancy inference proposal and recommends against it, finds app-only discounts disadvantage older members, applies simple frameworks and proposes an ethics checklist for new uses.
Synthetic case. Proposals are synthetic.
Errors and limits
Legal does not mean acceptable; ask whether uses are fair and expected.
Exercises
- EX028 — Pregnancy alternative. What replaced the pregnancy inference plan? Rubric: 3 = discounts for members choosing a family interest;; 2 = partly correct;; 1 = vague;; 0 = none.
- EX029 — App discount fix. How did Amara address the app-only discount? Rubric: 3 = printed vouchers at tills;; 2 = partly correct;; 1 = vague;; 0 = none.
- EX030 — Review timing. When does ethical review work best? Rubric: 3 = early, before campaigns are designed;; 2 = partly correct;; 1 = late;; 0 = none.
Continue studying — lesson 10 (chapter 10 of 40)
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