Ethical Issues: Privacy, Censorship, and Surveillance

This lesson explores key ethical issues related to computer science and technology, as required by OCR J277 Section 1.6. Ethics are moral principles that guide how we should behave, and technology raises many important ethical questions about privacy, censorship, and surveillance.

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What Are Ethical Issues?

Ethical issues are questions about what is morally right or wrong. In computer science, ethical issues arise because technology can be used in ways that benefit society but also in ways that can cause harm.

Key ethical questions in computing include:

• Should companies be allowed to collect and sell personal data?
• Should governments be able to monitor citizens' online activity?
• Who is responsible when AI makes a harmful decision?
• Should the internet be censored, and if so, by whom?

OCR Exam Tip: Ethics questions in the exam often present a scenario and ask you to discuss arguments for and against a particular use of technology. Always present both sides of the argument before giving a balanced conclusion.

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Privacy

Privacy is the right of an individual to control what information about them is collected, stored, and shared.

Privacy Concerns in the Digital Age

Concern	Description
Data collection	Companies collect vast amounts of personal data through websites, apps, and devices
Tracking	Cookies, location data, and browsing history are used to track online behaviour
Data sharing	Personal data may be sold to third parties for advertising or other purposes
Data breaches	Stolen personal data can be used for identity theft and fraud
Social media	Users often share personal information publicly without understanding the consequences
IoT devices	Smart speakers, cameras, and wearables continuously collect data

Arguments For Data Collection

Argument	Explanation
Personalised services	Targeted advertising, personalised recommendations, and tailored content
Improved products	User data helps companies improve their products and services
Free services	Many free online services are funded by advertising based on user data
Public safety	Data analysis can help identify criminal activity and prevent terrorism

Arguments Against Data Collection

Argument	Explanation
Loss of privacy	Individuals have less control over their personal information
Manipulation	Targeted advertising can manipulate consumer behaviour
Security risks	Large databases of personal data are targets for hackers
Lack of consent	Users may not understand or consent to how their data is used
Power imbalance	Large companies hold enormous amounts of data about individuals

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Censorship

Censorship is the suppression or restriction of information, ideas, or content that is considered objectionable, harmful, or sensitive.

Types of Internet Censorship

Type	Description	Example
Government censorship	Governments block access to certain websites or content	China's "Great Firewall" blocks Western social media
Parental controls	Software that restricts children's access to inappropriate content	Content filters on home broadband or school networks
Platform moderation	Social media platforms remove content that violates their rules	Removing hate speech or misinformation
ISP-level filtering	Internet Service Providers block certain categories of content	UK ISPs block access to certain illegal content by default

Arguments For Censorship

Argument	Explanation
Protecting children	Preventing access to harmful or inappropriate content
Preventing harm	Stopping the spread of extremist material, illegal content, or misinformation
National security	Blocking content that threatens public safety
Reducing cyberbullying	Removing abusive and harassing content

Arguments Against Censorship

Argument	Explanation
Freedom of expression	Censorship restricts the fundamental right to free speech
Government control	Authoritarian governments use censorship to suppress dissent
Over-blocking	Automated filters can block legitimate content by mistake
Lack of transparency	Users may not know what is being censored or why
Stifles innovation	Restricting information flow can hinder creativity and progress

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Surveillance

Surveillance is the monitoring of individuals' activities, communications, or data, typically by governments or organisations.

Forms of Digital Surveillance

Form	Description
CCTV	Camera systems monitoring public spaces
Internet monitoring	Tracking websites visited, emails sent, and online communications
Phone tapping	Intercepting phone calls and text messages
Metadata collection	Recording who you communicate with, when, and for how long (not the content)
Facial recognition	Identifying individuals from CCTV or photo databases
Social media monitoring	Analysing public social media posts

Arguments For Surveillance

Argument	Explanation
Crime prevention	Deters criminal activity and helps solve crimes
Counter-terrorism	Identifies terrorist plots before they are carried out
Public safety	CCTV makes public spaces safer
Evidence gathering	Provides evidence for criminal prosecutions

Arguments Against Surveillance

Argument	Explanation
Privacy invasion	Mass surveillance intrudes on innocent people's privacy
Chilling effect	People may self-censor if they know they are being watched
Potential for abuse	Surveillance powers can be misused by authorities
Proportionality	Mass surveillance may be disproportionate to the threat
Errors	Facial recognition systems can produce false matches, especially for certain demographics

OCR Exam Tip: Surveillance and privacy questions often require you to discuss both sides. A strong answer acknowledges the benefits (safety, crime prevention) while also considering the impact on individual rights. Always conclude with a balanced view.

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Ethical Issues Map: Privacy, Censorship, Surveillance

flowchart TD
  E((Ethical issues<br/>in computing)) --> PR[Privacy]
  E --> CN[Censorship]
  E --> SV[Surveillance]
  PR --> PR1["Data collection<br/>and tracking"]
  PR --> PR2["Sale of data<br/>to third parties"]
  PR --> PR3["Data breaches<br/>+ identity theft"]
  CN --> CN1["Government<br/>blocking"]
  CN --> CN2["Platform<br/>moderation"]
  CN --> CN3["Parental / ISP<br/>filters"]
  SV --> SV1["CCTV +<br/>facial recognition"]
  SV --> SV2["Internet<br/>monitoring"]
  SV --> SV3["Metadata<br/>collection"]
  E --> CONF{For vs Against}
  CONF --> FOR["Safety,<br/>crime reduction,<br/>child protection"]
  CONF --> AGAINST["Privacy invasion,<br/>chilling effect,<br/>algorithmic bias"]

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Summary