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Battle Cards 1–4

Dimension Legal Ethical
Core question What is required/permitted by law? What is responsible given dignity, fairness, harm, trust, ownership and public responsibility?
Coverage Codified rules for defined circumstances. Broader judgment where law may be incomplete or silent.
Role clue Legal counsel interprets requirements/legal risk. Governance, leaders and practitioners still evaluate ethical impact.

Deciding distinction: legal compliance is a floor, not proof of ethical responsibility.

Scenario: contract language probably permits sensitive inference from behavior, but customers were not clearly told. Strong response: examine purpose, transparency, autonomy, harm and Governance — not “Legal approved it.”

Trap: “It is legal, so there is no issue.”

Memory hook: Law asks may/must we? Ethics also asks should we, and under what safeguards?

Purpose: prevent “permitted = responsible” reasoning.

Typical users: Governance, legal counsel, Data Owners/Stewards and practitioners making data-use decisions.


Card 2 — Privacy vs Data Ethics

Privacy Data Ethics
Personal-data purpose, collection/use, safeguards, transparency, retention, rights/participation. Responsible handling more broadly: quality, bias, ownership, interpretation, visualization, transformation, social impact.

Deciding distinction: privacy is inside Data Ethics; Data Ethics is not reducible to privacy.

Privacy clue: consent, purpose, minimization, retention, access, erasure, confidentiality.

Broader ethics clue: misleading chart, biased sample, weak lineage, invalid comparison, harmful scoring, ownership/value.

Scenario: a truncated-axis dashboard exposes no personal data but can still be unethical because it manipulates interpretation.

Trap: treating every ethics question as privacy/security.

Purpose: keep privacy in the broader ethical frame without missing non-privacy harm.


Card 3 — Respect for Persons vs Beneficence vs Justice

Principle Protects Best clue
Respect for Persons Dignity, autonomy, meaningful choice; extra protection where autonomy is diminished. consent, agency, vulnerable persons
Beneficence Maximize possible benefit; minimize/avoid harm. safer alternative, unnecessary invasiveness
Justice Fair and equitable treatment. group disparity, historical disadvantage

Deciding distinction: choose the principle most directly triggered by the stem; a situation can implicate several.

  • No meaningful choice about sensitive secondary use → Respect.
  • Same business result with much less invasive data → Beneficence.
  • Qualified applicants in one disadvantaged group rejected much more often → Justice.

Trap: choosing Beneficence whenever “harm” appears even when unequal group treatment makes Justice more specific.

Memory hook: Respect = agency. Beneficence = harm/benefit. Justice = fairness.


Card 4 — Principle vs Risk vs Practice vs Control

Role Meaning Question
Principle Value / ethical expectation. What should be protected?
Risk Possible harmful outcome. What could go wrong?
Practice Expected behavior / way of working. What should people do?
Control Mechanism that enforces/verifies/tests the practice. How will we make/check it?

Example

  • Principle: respect health-information privacy.
  • Risk: unauthorized access/public disclosure.
  • Practice: only care-related users with a need get access.
  • Control: periodic access review removes unnecessary users.

Deciding distinction: do not call a value statement a control.

Trap: “be ethical” or “respect privacy” has no testable enforcement mechanism.

Memory hook: Principle = value; Risk = harm; Practice = behavior; Control = check/enforcement.

Source anchors: Chapter 2 pp. 53–55 and 63–64.

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