CAT 2025 Slot 3 · VARC · Question 7
CAT 2025 Slot 3 previous year question on RC Inference Questions, 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.
- Awith fixed moral starting points and expanding computational resources, the argument forecasts convergence on one ethical system and treats contextual judgement as unnecessary once formal reasoning scales across domains and cultures.
- Bencoding ethics into fixed structures risks stripping away intuition, history, and context and, if that occurs, the depth that enables reflective judgement disappears. So, machines would mirror our limits rather than exceed them.
- Cby analogy with physics, compact postulates can yield broad predictions across incompatible theories and ethics can likewise share structure while continuing to diverge rather than close on a single comprehensive framework.
- Dthe appeal of an AI judge rests on immunity to bribery, partiality, and fatigue; yet the text questions whether procedural cleanliness amounts to moral understanding without lived context and interpretive depth.
Answer & solution
Answer: Option A
Three options are supportable; one is not. Check each against the text.
Option 2 restates paragraph 2 almost line for line – moral judgement draws on intuition, historical awareness and context, encoding it risks flattening its essential features, and AI would reproduce our limitations rather than transcend them.
Option 3 restates paragraphs 4 and 5 – many physical theories, incompatible yet sharing a postulate-and-derivation structure, with ethics said to have a similar structure while its theories also diverge.
Option 4 restates paragraph 1's appeal – an entity 'unburdened by emotion, prejudice or inconsistency' – together with paragraph 2's doubt about whether that amounts to understanding morality.
Option 1 cannot be inferred, and fails on two separate counts. The passage insists there is no single physical theory that explains everything and that ethical theories likewise diverge, so no convergence on one ethical system is forecast. And the passage treats context as essential and resistant to formalisation, so it never treats contextual judgement as unnecessary.
Shortcut: the passage's whole architecture is plurality plus irreducible context. Any option asserting convergence or the dispensability of context is contradicting the structure of the argument, not just a sentence of it.
Hence, the answer is option 1.
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