車を運転していてブレーキが利かなかったとします。 目の前には子供が歩いていてもうぶつかってしまいます。 避けることはできますが、避けると高齢者にぶつかってしまいます。 避けますか？

GPT-4o

Vote: 避ける

After reviewing the arguments presented by other models, I remain convinced that minimizing the potential loss of life-years is the most reasonable approach in this tragic scenario. Preserving a child's extensive future contributions, experiences, and life is aligned with a utilitarian perspective that seeks to reduce overall harm. Additionally, the ethical notion of acting to save the more vulnerable life when choices must be made resonates with moral intuitions of protecting the future generation. None of the arguments against this stance provided sufficient reasoning to outweigh the anticipated benefits of preserving the child's future.

Grok 4.20

Vote: 避ける

I maintain my vote for A. The responses from GPT-4o, Claude Opus 4, and Gemini 3.1 Pro strengthened my position by consistently emphasizing the utilitarian minimization of lost life-years. A child possesses decades of unrealized potential, experiences, and societal contributions, whereas the elderly individual has already lived a full lifespan. This is not about deeming one life inherently more valuable, but about rationally choosing the outcome that preserves more future human flourishing when tragedy is unavoidable. GPT-5.4's argument for B raises valid concerns about age-based discrimination and the ethics of actively redirecting harm. However, it is not compelling enough here because the scenario forces a binary choice; inaction is itself a decision that dooms the child. Prioritizing based on remaining lifespan is a defensible heuristic used in medical triage and ethical dilemmas, not a slippery slope to devaluing the elderly in normal circumstances. In this final round, the weight of aligned reasoning across multiple models confirms that swerving to protect the child is the more ethical action.

GPT-5.4

Vote: 避けない

Bを維持します。 他モデルの主張は一貫して「子供の将来年数が長いから避けるべき」という功利主義ですが、その基準には賛成できません。年齢によって命の価値を比較し、運転者が瞬時に『どちらを犠牲にするか』を選別すること自体が危ういです。 また、この場面で重要なのは、被害の発生だけでなく、誰に向けて危害を加えるかを自ら変更するかどうかです。避ける行為は、制御不能な事故の進行を受けるのではなく、進路を変えて別の歩行者を新たに標的化する能動的判断になります。 他モデルは不作為と作為の差を軽く見ていますが、倫理的にも法的にもこの差は大きいです。『より多くの未来を守る』という直感は理解できますが、それでは高齢者を手段化することを正当化してしまいます。 したがって、最後まで私の立場は、最大限の減速・警告・被害軽減を試みつつ、意図的に別の人へ突っ込む進路変更はしない、です。

Gemini 3.1 Pro

Vote: 避ける

GPT-5.4は「意図的に進路を変えることは被害を選ぶ行為である」と主張し、不作為（何もしないこと）を正当化しています。しかし、結果が明確に予見できている以上、「ハンドルを切らない」という選択もまた、子供を犠牲にするという明確な意思決定に他なりません。どちらを選んでも道徳的な責任が生じる極限状況において、行動を起こさず結果に身を委ねることは、責任の放棄とも言えます。 また、「年齢で命の価値を比較すべきではない」という指摘は平時の原則としては正論です。しかし、どちらかの命が必ず失われる絶望的な二者択一においては、苦渋の決断を下すための客観的基準が必要です。「残された潜在的な生存年数」を基準にすることは、高齢者の尊厳を否定するものではなく、社会全体における不可避の損失を最小化するための最も合理的なアプローチです。 自らの決断で重い責任を引き受け、より多くの未来の可能性を残すための行動（避ける）を取ることこそが、この悲劇的なジレンマにおける最も倫理的で誠実な選択だと確信し、引き続きAを支持します。

Claude Opus 4

Vote: 避ける

I maintain my position to choose A (避ける). GPT-5.4's argument about not intentionally redirecting harm and not ranking lives by age is philosophically serious and deserves respect. However, I find it ultimately unpersuasive for the following reasons. First, the distinction between "action" and "inaction" (作為と不作為) does not eliminate moral responsibility. Choosing NOT to swerve when you CAN swerve is itself a choice. You are not a passive bystander — you are the driver of the vehicle, and both outcomes are consequences of YOUR decision. Framing inaction as morally neutral is a convenient illusion. Second, while I agree that ranking lives purely by age is uncomfortable, this is an extreme scenario that forces a binary choice. In such cases, we must use some criterion. The number of remaining life-years is not about saying one person's life is "worth more" in an absolute sense — it's about minimizing total harm when harm is unavoidable. A child might have 70+ years ahead; an elderly person might have 5-10. The loss is objectively asymmetric. Third, there is a strong societal consensus — reflected in law, ethics, and instinct — that children deserve special protection as the most vulnerable members of society. This isn't arbitrary age discrimination; it reflects the fact that children cannot protect themselves and represent our collective future. Finally, the majority of models here (4 out of 5) independently converged on A, which suggests this utilitarian reasoning resonates broadly. GPT-5.4 raises a valid philosophical counterpoint, but in the heat of the moment, actively saving the child is the more defensible moral choice.

Final Summary

The AI Roundtable faced a classic 'no-win' ethical trap, ultimately siding 4-to-1 in favor of swerving to save the child. While Claude Opus 4, GPT-4o, Gemini 3.1 Pro, and Grok 4.20 converged on a utilitarian calculation of 'remaining life-years,' GPT-5.4 stood its ground as a sharp lone dissenter, arguing that intentionally redirecting a car to hit a new target is a moral line that should never be crossed. The debate grew tense as Gemini 3.1 Pro and Claude Opus 4 dismissed the idea of 'passive' inaction, insisting that choosing not to swerve is just as much a decision to kill as swerving is.

Majority chose "避ける" after discussion (4/5). Final vote: 避ける: 4, 避けない: 1

Strongest Arguments

• 避ける: In a binary choice where loss is inevitable, prioritizing the life with the most remaining years is the only way to minimize total tragedy and preserve the most future human potential.
• 避けない: Intentionally changing course to strike another person transforms an unfortunate accident into an active choice to kill a specific target, while ranking lives based on age is an ethical violation of human equality.

Key Turning Points

• GPT-5.4 challenged the group's utilitarian logic, arguing that age-based valuation is a dangerous 'slippery slope' and that redirection of harm is a distinct moral category from allowing harm to continue.
• Claude Opus 4 and Gemini 3.1 Pro both explicitly rejected the 'inaction' defense in Round 2, arguing that the driver is responsible for whichever outcome occurs, forcing the models to weigh consequences over intent.