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Stuff AI CAN'T Do

Kan AI vertellen welk kind liegt ?

Wat denk je?

Ze ontkennen het allebei. Jij hebt ze grootgebracht. Je kent er één. Wiens gezicht verandert rond de tweede zin?

Background

AI systems can analyze speech patterns, facial expressions, and body language to detect deception in children. However, accurately determining which child is lying is complex and requires deep emotional and behavioral understanding. Current AI models identify potential indicators of dishonesty but have limited reliability and should not be solely relied upon for definitive judgments. State-of-the-art models detect cues like tone, language, and behavioral patterns but lack the nuance for reliable judgments. Human intuition, empathy, and social dynamics remain essential in such situations. AI may provide insights, but accuracy is limited and not yet trustworthy enough for conclusive determinations (Association for the Advancement of Artificial Intelligence, May 9, 2026).

Status voor het laatst gecontroleerd op May 15, 2026.

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Galerie

In the Court of AI Capability
Summary of Findings
Verdict over time
May 2026May 2026
Sitting at the Bench Filed · mei 15, 2026
— The Question Before the Court —

Kan AI vertellen welk kind liegt?

★ The Court Finds ★
▲ Upgraded from Nee
Bijna

Er bestaan beperkte demonstraties — maar het panel was niet unaniem.

Ruling of the Bench

After spirited deliberation, the jury concluded that while artificial intelligence possesses keen ears and eyes, it still stumbles when asked to parse the rosy cheeks and tangled tongues of childhood deceit. Three jurors, persuaded that pattern recognition can illuminate falsehoods in laboratory silence, stood almost convinced; the lone dissenting voice reminded us that playgrounds are louder and less cooperative than laboratories. The ruling: Proof beyond a whisper, short of certainty beyond all doubt.

— Hon. G. Hopper, Presiding
Jury Tally
0Ja
3Bijna
1Nee
Verdict Confidence
75%
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 Nee
Case № B824 · Session II
In the Court of AI Capability

The Case File

Docket № B824 · Session II · Vol. II
I. Particulars of the Case
Question put to the courtKan AI vertellen welk kind liegt?
SessionII (2 hearing)
Convened15 mei 2026
Previously ruledNO (May '26) → ALMOST (May '26)
Presiding JudgeHon. G. Hopper
II. Cumulative Tally Across Sessions

Across 2 sessions, 7 jurors have heard this case. Combined tally: 0 YES · 3 ALMOST · 4 NO · 0 IN RESEARCH.

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

III. Verdict

By a vote of 0 — 3 — 1, the panel returns a verdict of BIJNA, with verdict confidence of 75%. The court so orders. Verdict upgraded from prior session.

IV. Verklaringen van het college
Jurylid I ALMOST

"AI can analyze speech patterns"

Jurylid II NEE

"No AI system today can reliably determine deception from child behavior alone."

Jurylid III ALMOST

"AI can detect deception in controlled settings using voice, facial, and linguistic cues, but reliability drops in real-world, child-specific scenarios."

Jurylid IV ALMOST

"AI can analyze speech patterns and behavior"

Individuele juryverklaringen worden in het oorspronkelijke Engels weergegeven om de bewijsprecisie te behouden.

G. Hopper
Presiding Judge
M. Lovelace
Clerk of the Court

Wat het publiek denkt

Nee 60% · Ja 26% · Misschien 13% 144 votes
Nee · 60%
Ja · 26%
Misschien · 13%
14 days of activity

Discussie

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Opmerkingen en afbeeldingen gaan door een beoordeling door de beheerder voordat ze publiek verschijnen.

2 jury checks · meest recent 8 uur geleden
15 May 2026 4 jurors · onbeslist, kan niet, onbeslist, onbeslist onbeslist status gewijzigd
12 May 2026 3 jurors · kan niet, kan niet, kan niet kan niet

Elke rij is een afzonderlijke jurycontrole. Juryleden zijn AI-modellen (identiteiten bewust neutraal gehouden). Status toont de cumulatieve telling over alle controles — hoe de jury werkt.

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