The Ethics of Modern Technology C1 Reading Practice Tests Rules & Examples

The Ethics of Modern Technology: Who Decides What's Right?

Before you read, consider these two questions: Should technology companies be held morally responsible for the unintended consequences of their products? And where should the boundary lie between technological progress and the protection of individual rights? Keep these in mind as you work through the passage below.

Reading Passage: The Algorithm and the Mirror

In 2016, a teenager in the United Kingdom named Molly Russell began spending increasing amounts of time on social media platforms. Two years later, she was dead. An inquest concluded in 2022 that the content she had been repeatedly served by Instagram's recommendation algorithm had contributed to her death. The case sent shockwaves through the technology industry — not merely because of its tragedy, but because it forced a question that Silicon Valley had long preferred to sidestep: at what point does innovation become complicity?

The instinctive defence offered by major technology companies has typically centred on the notion of neutrality. Platforms, so the argument goes, are simply mirrors — neutral surfaces that reflect the desires and interests of their users. Were someone to search obsessively for content glorifying self-harm, the algorithm, acting in good faith, would merely follow the signal. Not only does this argument conveniently absolve companies of moral responsibility, but it also disregards the fundamental reality of how these systems actually operate. Recommendation algorithms are not passive reflectors; they are active amplifiers, engineered to maximise engagement at virtually any cost. That the cost sometimes happens to be human wellbeing is rarely acknowledged in quarterly earnings reports.

This tension between profitability and ethical accountability sits at the heart of what many scholars and policymakers now refer to as the "ethics of modern technology". The discussion, however, extends well beyond social media. Facial recognition software, deployed by law enforcement agencies across several countries, has been shown to misidentify individuals from ethnic minority groups at significantly higher rates than it does white individuals. Autonomous vehicles must be programmed to make split-second decisions that are, in essence, moral choices — decisions that their designers will have made long before any accident occurs. Artificial intelligence systems used in healthcare, criminal sentencing, and financial lending are making consequential judgements about people's lives, frequently without any meaningful human oversight or transparency.

What makes these dilemmas particularly thorny is that technology rarely advances in a single, predictable direction. Had the inventors of the internet foreseen its capacity to radicalise political extremists or dismantle local journalism, they might — one hopes — have designed certain safeguards from the outset. Instead, the dominant culture of the technology industry has historically celebrated disruption as an unqualified virtue, moving fast and breaking things without pausing to consider whose things were being broken and who would bear the cost of the wreckage. The result is a landscape in which ethical reflection tends to lag considerably behind technical capability, leaving societies to grapple with consequences that were, in many cases, entirely foreseeable.

Advocates for stronger regulation argue that self-governance has demonstrably failed. Voluntary commitments to responsible AI development, pledged by major corporations, have rarely translated into substantive changes in practice. The European Union's AI Act, which came into force in 2024, represents perhaps the most ambitious attempt to impose binding legal constraints on high-risk AI systems, establishing prohibitions, transparency requirements, and accountability mechanisms that apply regardless of where a given technology was developed. Critics, particularly in the United States, have countered that excessive regulation stifles innovation and risks ceding technological leadership to less scrupulous actors — a concern that is not entirely without merit, though it can also function as a convenient excuse for inaction.

The deeper issue, perhaps, is cultural rather than legislative. Technology does not emerge from a vacuum; it is built by people, shaped by incentives, and embedded with the values — and the blind spots — of those who create it. Until diversity, ethical literacy, and long-term accountability are genuinely prioritised within technology organisations, no regulatory framework, however well-designed, will be sufficient on its own. The algorithm, after all, is only as moral as the intentions of the hand that codes it — and intentions, in the absence of consequences, have a way of remaining conveniently abstract.

Key Vocabulary in Context

Reading Strategies & Comprehension Tips

Skimming for the Main Argument

This passage is structured as an analytical argument rather than a narrative. When skimming, pay attention to the first and last sentences of each paragraph — they consistently signal the central point being made. Note how the writer moves from a specific case study (Molly Russell) to broader societal and legislative concerns. Tracking this movement helps you identify the article's overall thesis.

Identifying the Writer's Attitude

The writer's tone is critical but measured. Look for evaluative language such as "conveniently absolve", "rarely acknowledged", and "convenient excuse" — these phrases signal scepticism towards technology companies without being overtly polemical. Notice how the writer acknowledges counterarguments ("a concern that is not entirely without merit") before ultimately qualifying them. This nuance is important for inference questions.

Inferring Implicit Meaning

Several of the writer's most important claims are implied rather than stated directly. For example, the final sentence — "intentions, in the absence of consequences, have a way of remaining conveniently abstract" — implies that technology companies will not act ethically unless they face real penalties for failing to do so. Practise paraphrasing such figurative or idiomatic conclusions in your own words to confirm your understanding.

Understanding Reference and Cohesion

Pay close attention to pronoun reference and substitution. In paragraph two, "the cost" refers back to the phrase "maximise engagement at virtually any cost". Tracking these cohesive links will help you answer questions about specific details and the relationships between ideas.

Common Reading Pitfalls & Traps

Trap 1: Confusing the Companies' View with the Writer's View

Paragraph two presents the technology industry's defence ("platforms are simply mirrors") before immediately refuting it. Be careful not to attribute this view to the writer. Look for the phrase "Not only does this argument conveniently absolve companies..." as a clear signal that the writer is rejecting this position, not endorsing it.

Trap 2: Overgeneralising the Regulatory Argument

The writer does not straightforwardly argue that all regulation is good or that critics of regulation are wrong. The sentence "a concern that is not entirely without merit" is a deliberate concession. Students who overlook this nuance may incorrectly describe the writer as being unconditionally pro-regulation.

Trap 3: Misreading the Conclusion

The final paragraph argues that cultural change within technology organisations is essential — it does not claim that regulation is unnecessary. The relationship is additive, not either/or. Watch for comprehension questions that present these two ideas as mutually exclusive.

Trap 4: Vocabulary Confusion

The word "inquest" (paragraph one) is a formal legal term referring to an official investigation into the cause of a death. It does not mean a general inquiry or news report. Similarly, "substantive" means genuinely significant — students sometimes confuse it with "substantial", which simply means large in size or amount. The meanings overlap but are not identical.

Quick Summary

This passage examines the ethical responsibilities of technology companies in an era of increasingly powerful and consequential digital systems. Drawing on a real-world case study, the writer argues that industry self-governance has failed, that regulatory frameworks such as the EU AI Act represent necessary progress, and that genuine ethical change ultimately requires a cultural transformation within the technology sector itself. The writing is characterised by sophisticated argumentation, nuanced concession, and a consistently critical but balanced tone.

Now read the passage carefully and complete Exercise 1 (Multiple Choice) and Exercise 2 (Fill-in-the-gap dropdown) below.