8. Consequences of Uses of Computing AQA A level Computer Science

Consequences of uses of computing

The individual (moral), social (ethical), legal, and cultural impacts and opportunities created by computer systems and digital technologies.

Individual (moral) issues in computing

How computing affects a person's rights, privacy, choices, and personal wellbeing, and questions about what is right or wrong at a personal level.

Social (ethical) issues in computing

How computing affects groups or society, including fairness, equality, bias, access, and responsible use of technology.

Legal issues in computing

Laws that govern how technology, data, software, and online systems can be used, including data protection, copyright, and cybercrime laws.

Cultural issues in computing

How technology affects beliefs, values, traditions, languages, and ways of life in different societies.

Opportunity of computing: communication

Digital technologies allow instant global communication through email, messaging, video calls, and social media.

Opportunity of computing: information flow

The internet enables rapid access to and sharing of information worldwide.

Risk of computing: monitoring behaviour

Technology can track people's actions (e.g., online activity, location data, CCTV, cookies), which can threaten privacy.

Risk of computing: amassing personal data

Organisations can collect large amounts of personal information, increasing risks of misuse, breaches, or surveillance.

Risk of computing: analysing personal data

Algorithms can analyse personal data to predict behaviour, which can be useful but may also lead to profiling or discrimination.

Risk of computing: distributing personal information

Personal data can be easily shared or leaked online, leading to identity theft, embarrassment, or harm.

Power of computer scientists

People who design algorithms and software have significant influence over how systems behave and how people's data is used.

Responsibility of computer scientists

Developers must consider ethics, safety, fairness, and privacy when creating software and algorithms.

Algorithms embedding values

Software design choices can reflect moral or cultural values (e.g., what content is prioritised, what behaviour is allowed).

Bias in algorithms

If training data or design decisions are biased, software can unfairly treat certain groups.

Issue of scale in computing

Software can be used worldwide, meaning a single program can affect millions or billions of people.

Computing for great good

Technology can improve healthcare, education, communication, accessibility, and quality of life.

Computing causing great harm

Technology can enable cybercrime, surveillance, misinformation, job loss, discrimination, or loss of privacy.

Transformation of society by computing

Digital technologies have changed how people work, learn, communicate, shop, and socialise.

Challenge for legislators in the digital age

Technology evolves faster than laws, making it hard for governments to regulate effectively.

Global nature of the internet (legal challenge)

Online services cross national borders, but laws differ between countries.

Balancing privacy and security

Laws must protect citizens' data while also allowing law enforcement to prevent crime.

Regulating big tech companies

Governments struggle to control powerful global technology companies and their data practices.

Keeping laws up to date

Rapid innovation (AI, social media, IoT) makes existing laws quickly outdated.

Ethical use of data

Data should be collected and used fairly, transparently, and with consent.

Digital divide

Unequal access to technology can increase social inequality.

Cultural impact of global platforms

Global social media and services can influence or replace local cultures and languages.