OCR J277 · Component 1 · Topic 1.6.1a

Ethical, Cultural & Environmental Impacts

Privacy · AI & Automation · The Digital Divide · Environmental Cost of Computing

CSZone OCR GCSE Computer Science J277

Learning Objectives

By the end of this video you will be able to...

Explain what is meant by an ethical issue in the context of computer science, and give examples of how technology can raise ethical questions

Describe the ethical issues surrounding privacy and surveillance — including how data collection and monitoring technologies create tensions between security and personal freedom

Discuss the ethical and societal concerns around artificial intelligence — including bias in algorithms, accountability, and the use of AI in autonomous decision-making systems

Explain the cultural impacts of computing, including the digital divide and how technology has changed communication, employment, and global culture

Describe the environmental impacts of computing — energy consumption of data centres and devices, e-waste, and the carbon footprint of digital technology

⚡ 1.6.1 is split into two parts: this video covers ethical, cultural and environmental impacts. Part b covers the specific legislation you need to know.

Foundations

What are ethical issues?

DEFINITION

Ethical issues arise when a technology or action can be used in ways that may be morally right for some people but morally wrong for others — or where the benefits to some come at a cost to others. In computing, ethical questions arise because technology is powerful, pervasive, and can affect large numbers of people in ways that are not always obvious or intended.

WHY COMPUTING RAISES ETHICAL QUESTIONS

Scale: a single system or algorithm can affect millions of people simultaneously — mistakes or biases are amplified at scale.

Dual use: the same technology can be used for both beneficial and harmful purposes — surveillance systems, AI, encryption, social media.

Unforeseen consequences: technology often has unexpected impacts on society, employment, privacy, and culture that were not anticipated by its creators.

THE FOUR AREAS IN THIS TOPIC

🔒 Privacy & Surveillance 🤖 AI & Automation 🌍 Cultural Impacts 🌱 Environmental Impacts

⚡ Ethical questions do not always have a clear right or wrong answer. The exam asks you to identify the issue, explain different perspectives, and discuss the implications — not to give a single definitive verdict.

Ethical Issue

Privacy and surveillance

THE CORE TENSION

Surveillance technology — CCTV, internet tracking, phone monitoring, facial recognition — can improve public safety and help catch criminals. But the same technology can be used to monitor innocent people without their knowledge or consent, eroding the right to privacy. The ethical question is: how much surveillance is acceptable, and who should control it?

EXAMPLES OF SURVEILLANCE AND DATA COLLECTION

CCTV cameras — used in public spaces, transport hubs, and shops. Can deter crime but also track individuals' movements without their consent.

Browser and app tracking — websites and apps collect data on what users click, search, and buy. Used for targeted advertising but often done without meaningful informed consent.

Facial recognition — can identify individuals in real time from camera footage. Used by police in some countries; raises concerns about misidentification and mass surveillance.

THE DEBATE

✓ ARGUMENTS FOR SURVEILLANCE

Deters crime · Helps solve serious offences · Keeps public spaces safer · Protects national security · Most people have nothing to hide

✗ ARGUMENTS AGAINST SURVEILLANCE

Invades privacy · Creates a "chilling effect" on free speech · Data can be misused · Facial recognition has racial bias · Power imbalance between state and citizens

⚡ For the exam: be able to give both sides of the privacy vs. security argument. Do not just state one viewpoint — the marks come from discussing the tension between the two perspectives.

Ethical Issue

Artificial intelligence

AI IN DECISION-MAKING

Artificial intelligence systems are increasingly used to make decisions that affect people's lives — approving loans, shortlisting job applicants, diagnosing medical conditions, setting insurance premiums, and even making parole recommendations. These systems are fast and can process vast amounts of data. But they raise serious ethical questions about fairness, accountability, and transparency.

KEY ETHICAL CONCERNS WITH AI

Bias: AI systems learn from training data. If that data reflects historical biases — for example, if past hiring data shows fewer women in senior roles — the AI learns to replicate those biases. The system may discriminate unintentionally but at scale.

Accountability: when an AI system makes a wrong decision — denying someone a loan, misdiagnosing a patient — it is often unclear who is responsible. The developer? The company using it? The AI itself cannot be held responsible.

Transparency: many AI systems, especially deep learning models, are "black boxes" — even their creators cannot fully explain why a specific decision was made. This makes it difficult to challenge or appeal decisions.

AUTONOMOUS SYSTEMS

AUTONOMOUS VEHICLES

If a self-driving car causes an accident, who is liable — the owner, the manufacturer, or the software developer? How should the car make decisions when a collision is unavoidable?

AUTONOMOUS WEAPONS

Military drones and autonomous weapons can make targeting decisions without human involvement. Who is accountable for deaths caused by algorithmic decisions in warfare?

⚡ The three key AI ethics concepts for the exam: bias (unfair outcomes from flawed training data), accountability (who is responsible for AI decisions), and transparency (the "black box" problem — can the decision be explained?).

Ethical Issue

Automation and employment

WHAT IS AUTOMATION?

Automation is the use of technology — including robots, software, and AI — to perform tasks that were previously carried out by humans. Automation has transformed manufacturing, logistics, retail, banking, and many other industries. It raises fundamental questions about the future of work and who benefits from increased productivity.

JOBS AFFECTED BY AUTOMATION

🏭

ALREADY AUTOMATED

Assembly line work · Checkout operators · Telephone customer service · Bank tellers

⚠️

AT RISK

Truck and taxi driving · Data entry · Basic legal and financial analysis · Radiography

✅

NEW JOBS CREATED

AI engineers · Data scientists · Robot maintenance · Cybersecurity specialists

THE DEBATE

✓ BENEFITS OF AUTOMATION

Reduces dangerous working conditions · Increases productivity · Lowers costs · Creates new, higher-skilled jobs · Enables 24/7 operation

✗ CONCERNS ABOUT AUTOMATION

Job losses for low-skilled workers · Widens inequality · New jobs require retraining · Displaced workers may struggle · Benefits concentrated among shareholders

⚡ Automation is both a benefit and a threat — it raises living standards overall but can cause significant hardship for individuals whose jobs are displaced. The exam may ask you to assess automation from different stakeholder perspectives: workers, businesses, governments, and consumers.

Ethical Issue

Censorship & freedom of information

INTERNET CENSORSHIP

Some governments and organisations restrict access to certain websites, social media platforms, or types of content. Reasons given include protecting national security, preventing the spread of harmful content, or limiting political opposition. Examples include China's "Great Firewall" and content filtering in schools and workplaces.

FREEDOM OF INFORMATION

The principle that people should have the right to access information freely — including about how governments spend public money and make decisions. The internet has dramatically increased access to information globally. Many argue that restricting this access is a threat to democracy, freedom of speech, and the ability of citizens to hold power to account.

THE DEBATE

✗ ARGUMENTS FOR CENSORSHIP

Protects children from harmful content · Prevents radicalisation · Stops spread of misinformation · Preserves national security · Content moderation protects vulnerable users

✓ ARGUMENTS FOR OPEN ACCESS

Freedom of speech is a fundamental right · Censorship enables authoritarian control · Restricts education and research · Internet should be a global commons · Who decides what is "harmful"?

⚡ Censorship vs. free access is another "both sides" question in the exam. You need to identify who benefits from each position — governments, businesses, citizens — and consider the ethical implications of each.

Cultural Issue

The digital divide

DEFINITION

The digital divide is the gap between those who have access to digital technology — computers, smartphones, reliable internet — and those who do not. It exists both between different countries (global divide) and within the same country (local divide), and affects education, employment, healthcare, and social participation.

CAUSES OF THE DIGITAL DIVIDE

Cost: devices and internet connections can be unaffordable for people on low incomes, particularly in developing countries.

Infrastructure: rural and remote areas often lack the broadband or mobile network infrastructure needed for reliable internet access.

Digital literacy: even where access exists, some people — particularly older generations — lack the skills to use digital technology effectively.

CONSEQUENCES

FOR INDIVIDUALS

Reduced access to education, job opportunities, and online public services. Difficulty completing schoolwork or working from home. Social exclusion from online communities.

FOR SOCIETY

Widens existing inequalities. Disadvantaged groups fall further behind as more services move online. Countries without digital infrastructure fall behind economically.

⚡ The digital divide is a cultural and social issue as much as a technological one. The exam often asks you to explain what causes it and what the consequences are — not just that it exists. Think about it from multiple perspectives: individuals, schools, businesses, and governments.

Cultural Issue

Technology's impact on society

CHANGED COMMUNICATION

Digital technology has fundamentally changed how people communicate — social media, instant messaging, video calls, and email have made global communication instant and cheap. This has brought benefits (families staying connected across continents, global collaboration) but also concerns (cyberbullying, misinformation spreading virally, reduced face-to-face interaction, social media's impact on mental health).

GLOBALISATION

The internet and computing have accelerated globalisation — businesses can operate globally, people can work remotely for companies in other countries, and ideas, culture, and goods flow more freely across borders than ever before.

However, globalisation enabled by technology can also lead to the dominance of a small number of large tech companies, the erosion of local cultures, and concerns about technology being developed in a few wealthy countries but deployed globally.

IMPACT ON EMPLOYMENT CULTURE

Remote working: technology has enabled millions of people to work from home, changing the culture of the workplace. This has benefits (flexibility, reduced commuting) and drawbacks (isolation, "always on" culture, blurred work-life boundaries).

The gig economy: platforms like Uber, Deliveroo, and Upwork have created a new category of flexible but often precarious "gig" work — enabled entirely by digital platforms and smartphones.

⚡ Cultural impacts are wide-ranging. In the exam, do not just say "technology has changed society" — be specific. Name a change, explain how computing caused it, and discuss whether that change is a benefit or a concern for different groups of people.

Environmental Issue

Environmental impacts of computing

THE BIG PICTURE

Computing has a significant and growing environmental footprint. The manufacture, use, and disposal of digital devices and infrastructure — from smartphones to hyperscale data centres — consumes vast amounts of energy, rare materials, and produces significant waste. The environmental cost of our digital world is often invisible to end users but real and substantial.

THREE KEY ENVIRONMENTAL ISSUES

⚡ ENERGY CONSUMPTION

Data centres that power the internet, cloud computing, and AI systems consume enormous amounts of electricity — estimated at around 1–2% of global electricity use. Streaming video, cryptocurrency mining, and AI training all require significant computing power. Much of this energy still comes from fossil fuels.

🗑️ E-WASTE (ELECTRONIC WASTE)

Discarded electronic devices — phones, laptops, tablets, printers — contain toxic materials (lead, mercury, cadmium) and rare earth metals. E-waste is the fastest-growing waste stream globally. Much of it is illegally exported to developing countries where it is processed unsafely, causing environmental and health damage.

🏭 MANUFACTURING FOOTPRINT

Manufacturing a single smartphone requires extracting rare earth minerals (often through environmentally damaging mining), uses significant water and energy, and produces carbon emissions. The short upgrade cycles driven by consumer culture mean devices are replaced far more often than their functional lifespan would require.

⚡ Environmental impacts work in both directions: computing causes environmental damage (energy use, e-waste), but computing is also used to help solve environmental problems — modelling climate change, optimising energy grids, monitoring deforestation. The exam may ask about both sides.

Putting It Together

1.6.1a — the big picture

PRIVACY & SURVEILLANCE

Technology enables powerful surveillance. Creates tension between security (public safety, crime prevention) and privacy (right to freedom from monitoring). Neither extreme is without risk.

AI & AUTOMATION

AI raises concerns about bias (unfair decisions from flawed training data), accountability (who is responsible for AI decisions), and transparency (black box systems). Automation displaces workers while creating new roles — the distribution of benefits is unequal.

CENSORSHIP & FREE INFORMATION

Governments and platforms restrict access to content, citing safety and security. Critics argue this threatens free speech and democratic accountability. The internet both enables and is used to restrict information flow.

CULTURAL IMPACTS

Digital divide: gap between those with and without technology access — caused by cost, infrastructure, and digital literacy. Technology has transformed communication and work, but not equally for everyone. Globalisation benefits and risks exist side by side.

ENVIRONMENTAL IMPACTS

Energy: data centres consume ~1–2% of global electricity, much from fossil fuels. E-waste: fastest-growing waste stream, toxic materials, often processed unsafely. Manufacturing: rare minerals, short upgrade cycles. Computing also helps tackle environmental problems — dual impact.

Exam-Style Questions

Ethical, Cultural & Environmental Impacts

Question 1

Explain two ethical issues that arise from the use of facial recognition software by law enforcement agencies.

4 marks

1+1

Privacy / mass surveillance: facial recognition can identify and track individuals in public spaces without their knowledge or consent, eroding the right to privacy and creating the potential for mass surveillance of innocent people. (1 mark issue + 1 mark explanation)

1+1

Bias / misidentification: studies have shown that some facial recognition systems have significantly higher error rates for people with darker skin tones, meaning minority groups are more likely to be wrongly identified — raising issues of fairness and discrimination. (1 mark issue + 1 mark explanation)

Question 2

Describe what is meant by the "digital divide" and explain one consequence of the digital divide for individuals.

3 marks

1

The digital divide is the gap between those who have access to digital technology and the internet and those who do not — caused by factors including cost, lack of infrastructure, and limited digital skills. (1 mark)

1+1

One consequence for individuals: people without internet access have reduced access to online public services, job opportunities, or education resources — putting them at a disadvantage compared to those who are connected. (1 mark consequence + 1 mark explanation)

Question 3

Discuss the environmental impact of the increasing use of cloud computing and data centres. Include both negative and positive impacts in your answer.

4 marks

Common Mistakes

Four mistakes that cost marks in the exam

1

Giving only one side of a debate question. Questions about ethical issues — surveillance, censorship, automation — typically ask you to "discuss" or "explain the arguments for and against." Giving only one perspective will lose half the available marks. Always present both sides: who benefits, who is harmed, and what the competing values are. The mark scheme will explicitly have marks allocated to each side of the argument.

2

Saying AI "thinks" or "decides for itself." AI systems do not think, reason, or make conscious decisions. They apply statistical patterns learned from training data. Describing AI as if it has human-like intelligence or moral agency is inaccurate. The correct language: AI "identifies patterns," "classifies inputs," "generates outputs based on training data," or "makes predictions." This matters because the accountability question hinges on the fact that AI has no agency — a human or organisation must be responsible for its decisions.

3

Confusing the digital divide with internet censorship. These are two different issues. The digital divide is about unequal access to technology — caused by cost, geography, and skills gaps. Internet censorship is about governments or organisations deliberately restricting what content can be accessed. Students sometimes confuse them because both relate to people not being able to access something online — but the causes and solutions are entirely different.

4

Saying computing is only bad for the environment. While computing does cause significant environmental harm (energy consumption, e-waste, manufacturing footprint), technology is also used to address environmental problems. Climate models run on supercomputers. Smart grids optimise energy distribution. Satellite systems monitor deforestation. If an exam question asks about environmental impact, include both the negative impacts and the ways in which computing is being used to help solve environmental challenges.

Summary

1.6.1a — Ethical, Cultural & Environmental Impacts

PRIVACY & SURVEILLANCE

Technology enables powerful monitoring (CCTV, tracking, facial recognition). Ethical tension between security/safety and the right to privacy. Both sides have legitimate arguments — exam questions expect both perspectives.

AI: BIAS, ACCOUNTABILITY, TRANSPARENCY

AI bias: unfair outcomes from flawed training data. Accountability: unclear who is responsible when AI causes harm. Transparency: black-box systems are hard to challenge. Automation displaces jobs but creates new ones.

CENSORSHIP VS FREE INFORMATION

Censorship can protect but also suppresses free speech and enables authoritarian control. Free information flow supports democracy but risks spread of harmful content. Context matters — schools, governments, and individuals have different needs.

DIGITAL DIVIDE & CULTURAL IMPACTS

Digital divide: gap in access due to cost, infrastructure, digital literacy. Consequences: educational and economic disadvantage. Technology has transformed communication and employment — benefits and harms are not distributed equally.

ENVIRONMENTAL IMPACTS

Energy consumption: data centres use ~1–2% of global electricity. E-waste: fastest-growing waste stream, toxic materials. Manufacturing: rare minerals, short upgrade cycles, high carbon cost. But computing also helps tackle climate problems — both sides in the exam.

1.6.1a Complete

That's 1.6.1a done!

Next up: 1.6.1b — Legislation

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