The classic defence is that science is neutral and only its use is moral or immoral, so blame the general, not the physicist. The 2026 twist is that some of the loudest warnings about AI now come from the very people building it, which makes the old separation of knowledge from consequence harder to hold.
A scientist-responsibility question rewards a student who can argue the neutrality thesis properly before dismantling it. Science as pure inquiry, with morality entering only at the point of use, is a real and respectable position. Argue whether it survives contact with research whose harmful uses are foreseeable at the bench, from gene editing to dual-use AI.
This is a hardy values strand. It appeared as human need rather than profit driving research in 2016, animals in research in 2017, and knowledge versus morality in 2020. The examiner returns to the scientist's duty on a steady beat because it forces genuine ethical argument rather than topic knowledge.
The contemporary hook is unusually sharp. In 2026 the people most publicly worried about advanced AI include its own leading researchers, the same scientists whose work creates the risk, which puts the question of a scientist's responsibility for foreseeable harm back in the news an examiner reads.
Framed honestly: a values question of this kind is a frequent visitor rather than a certainty for any one year. It is worth rehearsing because the neutrality-versus-responsibility argument is one most candidates handle clumsily, reaching for Oppenheimer and stopping there.
set at A-Level most recent appearance. A recurring values strand on a few-year beat. The scientist's duty returns because it forces real ethical argument.
These questions test whether you can argue about responsibility, not just gesture at famous harms. The neutrality thesis, that a discovery is morally blank and only its application carries weight, is the position you must engage seriously before you can defeat it. A script that just lists the atom bomb has not made an argument.
They also test the idea of foreseeability. The strongest line is that a scientist owns the uses that are reasonably foreseeable from the work, which is a sharper claim than 'scientists are responsible for everything' or 'scientists are responsible for nothing'. The argument lives in where that line of foresight falls.
Two distinct, defensible routes through the question. A strong script commits to one and uses the other as the concession it answers, rather than sitting on the fence.
Knowledge itself is morally blank; a finding can heal or harm depending on who wields it, so the moral weight sits with the user and the regulator, not with the scientist pursuing truth.
Neutrality breaks down where the harmful use is reasonably foreseeable at the bench, because a scientist who can predict the misuse and proceeds anyway has made a moral choice, not just a discovery.
The scientist He Jiankui was sentenced to three years in prison after announcing gene-edited babies in 2018, a case the scientific community treated as a failure of individual responsibility, not merely of regulation.Source: He Jiankui affair, widely documented, as of 2026-06
Dual-use research, work that can be applied to benefit or to harm, is a recognised category in science governance precisely because the harmful use is often foreseeable when the research is done.Source: science-governance consensus, as of 2026-06
That leading AI researchers publicly warn about their own field is itself the strongest counter to pure neutrality: a maker who foresees the harm cannot fully disown responsibility for it.Source: Statement on AI Risk, 2023, as of 2026-06
Neutrality holds until the harm is foreseeable. After that, choosing not to look is itself a choice the scientist owns.Where the responsibility line falls

Book a free trial lesson and see how we teach GP from the exam backwards, building the two-stance habit on issues exactly like this one.