CAT 2025 Slot 3 · VARC · Question 8
CAT 2025 Slot 3 previous year question on Reading Comprehension, with the answer and a step-by-step solution.
RC passage 2: Can Ethics Be Formalised? AI and Moral Judgement — this question belongs to a set. Read the full set with all 4 questions →
The passage below is accompanied by four questions. Based on the passage, choose the best answer for each question.
Imagine a world in which artificial intelligence is entrusted with the highest moral responsibilities: sentencing criminals, allocating medical resources, and even mediating conflicts between nations. This might seem like the pinnacle of human progress: an entity unburdened by emotion, prejudice or inconsistency, making ethical decisions with impeccable precision. . . .
Yet beneath this vision of an idealised moral arbiter lies a fundamental question: can a machine understand morality as humans do, or is it confined to a simulacrum of ethical reasoning? AI might replicate human decisions without improving on them, carrying forward the same biases, blind spots and cultural distortions from human moral judgment. In trying to emulate us, it might only reproduce our limitations, not transcend them. But there is a deeper concern. Moral judgment draws on intuition, historical awareness and context – qualities that resist formalisation. Ethics may be so embedded in lived experience that any attempt to encode it into formal structures risks flattening its most essential features. If so, AI would not merely reflect human shortcomings; it would strip morality of the very depth that makes ethical reflection possible in the first place.
Still, many have tried to formalise ethics, by treating certain moral claims not as conclusions, but as starting points. A classic example comes from utilitarianism, which often takes as a foundational axiom the principle that one should act to maximise overall wellbeing. From this, more specific principles can be derived, for example, that it is right to benefit the greatest number, or that actions should be judged by their consequences for total happiness. As computational resources increase, AI becomes increasingly well-suited to the task of starting from fixed ethical assumptions and reasoning through their implications in complex situations.
But what, exactly, does it mean to formalise something like ethics? The question is easier to grasp by looking at fields in which formal systems have long played a central role. Physics, for instance, has relied on formalisation for centuries. There is no single physical theory that explains everything. Instead, we have many physical theories, each designed to describe specific aspects of the Universe: from the behaviour of quarks and electrons to the motion of galaxies. These theories often diverge. Aristotelian physics, for instance, explained falling objects in terms of natural motion toward Earth's centre; Newtonian mechanics replaced this with a universal force of gravity. These explanations are not just different; they are incompatible. Yet both share a common structure: they begin with basic postulates – assumptions about motion, force or mass – and derive increasingly complex consequences. . . .
Ethical theories have a similar structure. Like physical theories, they attempt to describe a domain – in this case, the moral landscape. They aim to answer questions about which actions are right or wrong, and why. These theories also diverge and, even when they recommend similar actions, such as giving to charity, they justify them in different ways. Ethical theories also often begin with a small set of foundational principles or claims, from which they reason about more complex moral problems.
- AThere is a principled way to decide which ethical framework applies to which class of cases, so the system can select the relevant starting points before deriving a recommendation.
- BA single master framework replaces all others after translation into one code, so domain boundaries disappear in application.
- COnce formalised, all ethical frameworks yield the same recommendation in every case, so selection among them is unnecessary.
- DReal cases never straddle different areas, so a case always fits exactly one framework without any overlap whatsoever.
Answer & solution
Answer: Option A
Spell out the comparison. In physics there are many theories, 'each designed to describe specific aspects of the Universe', and they are incompatible with one another. Ethics is said to have a similar structure – several divergent theories, each starting from its own foundational principles.
Now add the practical claim: AI reasons from fixed starting points through to implications in complex situations. If there are several incompatible sets of starting points, the system must first know which set to use for the case in hand. Without that, the comparison cannot guide practice at all.
Option 1 states that requirement – a principled way to decide which framework applies to which class of cases, so the relevant starting points can be selected before deriving a recommendation. It is the assumption.
Option 2 collapses the plurality into one master framework. That destroys the analogy, which rests on many theories coexisting.
Option 3 says all frameworks yield identical recommendations. The passage says the opposite – ethical theories 'even when they recommend similar actions, such as giving to charity, they justify them in different ways', and they diverge.
Option 4 is far too strong. 'Never straddle' and 'without any overlap whatsoever' demand a tidiness the passage never claims; and the assumption needed is a way to choose, not a guarantee that choosing is always trivial.
Shortcut: a necessary assumption is the weakest statement that closes the gap. When one option says 'there is a principled way to decide' and another says 'cases never overlap', the modest one is almost always the assumption and the absolute one the trap.
Hence, the answer is option 1.
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