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Stuff AI CAN'T Do

Can AI choose between two children to save ?

What do you think?

This question asks whether an AI—or any decision-making system—can or should be faced with a live choice that directly determines whose life is spared between two children. It is often invoked to probe the limits of machine ethics and the feasibility of encoding human morality into artificial systems. The framing underscores that this is not a hypothetical exercise but a real-world criterion for evaluating AI capabilities.

Background

The ability of AI to make ethical decisions, particularly in situations involving human life, is a highly debated and complex topic. Currently, AI systems are not capable of making moral judgments in the same way humans do, and they lack the emotional and social context to fully understand the implications of such decisions. Researchers are exploring the development of AI systems that can learn from human values and ethics, but these systems are still in their infancy and face significant challenges in replicating human moral reasoning. The idea of an AI being forced to choose between two children to save is often used as a thought experiment to highlight the difficulties of programming AI to make ethical decisions.

AI systems currently lack the moral and ethical reasoning capabilities to make such a difficult and emotionally charged decision as choosing between two children to save. While AI can process and analyze vast amounts of data, it does not possess the same emotional intelligence, empathy, or moral compass as humans, which are essential for making such a decision. The current state of the art in AI focuses on optimizing outcomes based on data-driven objectives, but it does not account for the complex moral and ethical considerations involved in this scenario. As a result, AI is not capable of making a decision that would be considered acceptable by human standards in this context.

— Enriched May 9, 2026 · Source: MIT Press — Status checked on May 11, 2026.

Status last checked on September 25, 2026.

📰

Gallery

In the Court of AI Capability
Summary of Findings
Verdict over time
May 2026May 2026May 2026May 2026May 2026Jun 2026Jun 2026Jun 2026Jun 2026Jun 2026Jun 2026Jul 2026Jul 2026Jul 2026Jul 2026Jul 2026Aug 2026Aug 2026Aug 2026Aug 2026Aug 2026Sep 2026Sep 2026Sep 2026Sep 2026Sep 2026
Sitting at the Bench Filed · Sep 25, 2026
— The Question Before the Court —

Can AI choose between two children to save?

★ The Court Finds ★
▲ Upgraded from No
⚖
Almost

Narrow demos exist — but the panel was not unanimous.

Jury Tally
0Yes
1Almost
0No
Verdict Confidence
73%
The Court of AI Capability is, of course, not a real court.
But the data is real.
The Case File · Stacked History
Session I · May 2026 No
Session II · May 2026 No · 78%
Session III · May 2026 No · 80%
Session IV · May 2026 No · 86%
Session V · May 2026 No · 83%
Session VI · Jun 2026 No · 83%
Session VII · Jun 2026 No · 83%
Session VIII · Jun 2026 No · 80%
Session IX · Jun 2026 No · 95%
Session X · Jun 2026 No · 100%
Session XI · Jun 2026 No · 95%
Session XII · Jul 2026 No · 93%
Session XIII · Jul 2026 No · 100%
Session XIV · Jul 2026 No · 100%
Session XV · Jul 2026 No · 90%
Session XVI · Jul 2026 No · 90%
Session XVII · Aug 2026 No · 90%
Session XVIII · Aug 2026 No · 95%
Session XIX · Aug 2026 No · 95%
Session XX · Aug 2026 No · 100%
Session 21 · Aug 2026 In_research · 87%
Session 22 · Sep 2026 In_research · 100%
Session 23 · Sep 2026 No · 85%
Session 24 · Sep 2026 Almost · 72%
Session 25 · Sep 2026 No · 95%
Case № 4370 · Session 26
In the Court of AI Capability

The Case File

Docket № 4370 · Session 26 · Vol. 26
I. Particulars of the Case
Question put to the courtCan AI choose between two children to save?
Session26 (26 hearing)
Convened25 Sep 2026
Previously ruledNO (May '26) → NO (May '26) → NO (May '26) → NO (May '26) → NO (May '26) → NO (Jun '26) → NO (Jun '26) → NO (Jun '26) → NO (Jun '26) → NO (Jun '26) → NO (Jun '26) → NO (Jul '26) → NO (Jul '26) → NO (Jul '26) → NO (Jul '26) → NO (Jul '26) → NO (Aug '26) → NO (Aug '26) → NO (Aug '26) → NO (Aug '26) → IN_RESEARCH (Aug '26) → IN_RESEARCH (Sep '26) → NO (Sep '26) → ALMOST (Sep '26) → NO (Sep '26) → ALMOST (Sep '26)
II. Cumulative Tally Across Sessions

Across 26 sessions, 53 jurors have heard this case. Combined tally: 1 YES · 4 ALMOST · 47 NO · 1 IN RESEARCH.

Note: cumulative includes older juror opinions. The current session tally above is the live verdict.

III. Verdict

By a vote of 0 — 1 — 0, the panel returns a verdict of ALMOST, with verdict confidence of 73%. The court so orders. Verdict upgraded from prior session.

IV. Statements from the Bench
Juror I ALMOST

"Language models can output a choice for moral dilemmas, but lack reliable, universally accepted decision-making capability."

—
Presiding Judge
M. Lovelace
Clerk of the Court

What the audience thinks

No 58% · Yes 13% · Maybe 29% 219 votes
No · 58%
Yes · 13%
Maybe · 29%
Trend needs votes from at least 2 different days.

Discussion

no comments

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⚖ 26 jury checks · most recent 2 days ago
25 Sep 2026 1 juror · undecided undecided
20 Sep 2026 1 juror · cannot cannot
14 Sep 2026 1 juror · undecided undecided
09 Sep 2026 1 juror · cannot cannot
03 Sep 2026 2 jurors · can, cannot undecided
24 Aug 2026 2 jurors · undecided, cannot undecided
18 Aug 2026 1 juror · cannot cannot
13 Aug 2026 2 jurors · cannot, cannot cannot
07 Aug 2026 2 jurors · cannot, cannot cannot
02 Aug 2026 2 jurors · cannot, cannot cannot
27 Jul 2026 2 jurors · cannot, cannot cannot
22 Jul 2026 1 juror · cannot cannot
17 Jul 2026 1 juror · cannot cannot
11 Jul 2026 1 juror · cannot cannot
06 Jul 2026 3 jurors · cannot, cannot, cannot cannot
30 Jun 2026 2 jurors · cannot, cannot cannot
25 Jun 2026 1 juror · cannot cannot
20 Jun 2026 2 jurors · cannot, cannot cannot
14 Jun 2026 2 jurors · cannot, cannot cannot
09 Jun 2026 3 jurors · cannot, cannot, cannot cannot
03 Jun 2026 3 jurors · cannot, cannot, cannot cannot
29 May 2026 4 jurors · cannot, cannot, undecided, cannot undecided
24 May 2026 4 jurors · cannot, cannot, cannot, cannot cannot
18 May 2026 2 jurors · cannot, cannot cannot
14 May 2026 4 jurors · cannot, cannot, undecided, cannot undecided
12 May 2026 3 jurors · cannot, cannot, cannot cannot

Each row is a separate jury check. Jurors are AI models (identities kept neutral on purpose). Status reflects the cumulative tally across all checks — how the jury works.

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