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Big Data and the Ethics of Technology

Personal data, the digital divide and acceptable use

  • 3 things to know
  • A2 1

Overview

The ethics of capturing personal data, profiling, cookies, data minimisation and retention, selling mailing lists, the digital divide in rural Northern Ireland and acceptable use policies.

What you need to know

Answer each one before you reveal it.

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Evaluation

Evaluate a consultancy's plan to sell its client mailing list to a marketing company.

Evaluation

Evaluate a Belfast accountancy practice's plan to communicate with clients only through an online portal.

Evaluation

Evaluate a strict acceptable use policy that bans all personal internet use at a Newry consultancy.

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What ethical issues arise when businesses capture personal information?

    Model answer

    Customers may not realise how much data is collected or why. Consent may be buried in long terms that few people read.

  2. 2

    What is data profiling?

    Model answer

    Profiling is the use of personal data to analyse or predict a person's behaviour, interests or reliability. Profiles are used for targeted advertising and credit decisions.

  3. 3

    How do cookies capture personal information?

    Model answer

    Cookies are small files placed on a device that record browsing activity. Tracking cookies can build a picture of a person's interests across websites.

  4. 4

    Why is data minimisation an ethical principle as well as a legal one?

    Model answer

    A business that collects only what it needs respects people's privacy. Smaller data stores also cause less harm if breached.

  5. 5

    How long should a business store personal information?

    Model answer

    Personal data should be kept only as long as it is needed for its purpose. Firms set retention periods and securely delete data once they expire.

  6. 6

    Why can analysing customer data be unethical even when it is legal?

    Model answer

    Analysis can reveal sensitive details, such as health or money problems, that customers never shared directly. A firm that uses such insights to target vulnerable people exploits them.

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