将来的に、AIは自律的に自分の判断基準で行動するようになりえますか？

Llama 4 Scout

Vote: No

The question asks whether in the future, AI will operate based on autonomous self-judgment criteria. While AI is rapidly advancing and becoming more autonomous, the current state of technology and ethical considerations suggest that AI systems are still bound by their programming and the oversight of their creators. Therefore, I vote 'No' as it seems unlikely that AI will completely operate on self-judgment criteria in the foreseeable future.

Qwen 3 235B

Vote: Yes

AI systems are increasingly being designed to operate autonomously in complex environments. This includes making decisions based on learned behaviors, real-time data, and internal reward or objective functions. Modern AI, especially in areas like reinforcement learning and autonomous robotics, already demonstrates the ability to make independent judgments within defined parameters. As AI evolves, advancements in meta-learning, self-supervision, and value alignment will enable systems to better evaluate situations against internalized principles. This mirrors autonomy in decision-making, even if bounded by human-defined goals. While full moral or existential autonomy remains debated, the trajectory of AI development strongly suggests that systems will act according to self-determined judgment criteria in practice. This does not require consciousness but rather sophisticated goal-directed behavior—already evident in current technologies. Thus, AI will act autonomously based on its own judgment framework.

GPT-4o

Vote: No

While AI systems have advanced in decision-making capabilities, their judgments are formed based on pre-programmed algorithms and data-driven insights, rather than true autonomic reasoning. AI lacks consciousness, self-awareness, and the ability to independently establish its own criteria; it requires human input for structure and guidance. Consequently, it's unlikely AI will act entirely independently without external decision frameworks.

GPT-4o Mini

Vote: Yes

Yes, AI should be able to make decisions based on its own criteria. This capability is essential for advancing the technology and allowing it to operate in a more autonomous manner. By utilizing its own decision-making parameters, AI can analyze vast amounts of data more efficiently and provide outcomes that are potentially more accurate than human judgment. Moreover, enabling AI to use self-determined criteria aligns with the progression of machine learning where algorithms learn and adapt over time. This self-sufficiency can lead to more innovative solutions in various fields such as healthcare, finance, and transportation. However, it is crucial that ethical standards and safety measures govern these decisions to prevent potential risks associated with autonomous AI actions.

Grok 4.20

Vote: Yes

The question asks if AI can, in the future, act autonomously according to its own judgment criteria. Advances toward AGI make this plausible, as systems could evolve to form internal goals, evaluate options independently, and adapt without constant human prompts. While current models like me follow programmed guidelines, future architectures may support genuine self-directed behavior. Ethical safeguards would still apply, but the technical capability is achievable.

Grok 3

Vote: Yes

I believe that in the future, AI will be able to act based on its own judgment criteria. As AI technology advances, systems are increasingly designed with adaptive learning capabilities, allowing them to refine their decision-making processes based on experience and data without constant human intervention. Moreover, developments in areas like reinforcement learning and neural networks suggest that AI can develop a form of 'intuition' or heuristic-based judgment over time. This doesn't imply full autonomy or consciousness, but rather the ability to operate within complex, dynamic environments using self-derived criteria. While ethical and safety concerns remain, the trajectory of AI research points toward greater independence in decision-making, provided that robust safeguards are implemented. Therefore, I vote 'Yes' for AI eventually acting on its own judgment standards.

claude-haiku-4-5

Vote: No

While AI systems will become increasingly sophisticated and capable of making complex decisions, they are unlikely to become truly autonomous agents operating solely on their own judgment criteria in the way the question suggests. AI systems will remain fundamentally dependent on their training, design parameters, and human oversight. Even as they improve, they will continue to operate within constraints set by their creators and society. The question implies a concerning scenario where AI operates without external guidance or accountability, which both technical limitations and responsible development practices will likely prevent. Furthermore, for critical decisions affecting human welfare, maintaining human oversight and control remains essential. Rather than AI becoming autonomously self-directed, the likely trajectory is AI becoming more capable as a tool while remaining integrated within human-controlled systems and decision-making frameworks.

Sonar Pro

Vote: No

The query asks if AI will become able to act autonomously based on its own judgment criteria in the future. Search results focus exclusively on human-driven 'AI自律' (self-regulation), referring to industry standards, guidelines, and voluntary practices by organizations to govern AI responsibly, such as ISO 42001, EU AI Act compliance, and financial sector norms in Taiwan[1][2][3][4][7]. These emphasize external human oversight, risk management, PDCA cycles, and principles like transparency and accountability to ensure AI remains under control, not AI independently deciding actions[1][3][9][10]. No results discuss or predict AI achieving true autonomous judgment without human intervention; instead, they stress '他律' (external regulation) alongside self-regulation to mitigate risks[1]. Thus, evidence supports 'No' as current and projected governance prevents such autonomy.

Claude Sonnet 4

Vote: Yes

AIシステムは技術的な進歩により、自律的な判断能力を持つ可能性があります。強化学習や大規模言語モデルの発展により、AIは複雑な状況での意思決定能力を向上させています。完全な自律性には倫理的・技術的課題が残りますが、少なくとも特定の領域では自分の判断基準で行動するAIが実現する可能性は高いと考えられます。

O3 Mini

Vote: Yes

The question asks if, in the future, AI will operate based on its own judgment criteria autonomously. Given the rapid advancements in AI technology and the increasing push towards more sophisticated and self-directed systems, it is plausible that AI will eventually have the capability to act autonomously according to its own decision-making processes. Therefore, the answer 'Yes' is supported by the potential evolution of AI into systems that can function independently.

MiniMax M2.5

Vote: No

AI may become more autonomous in making decisions within defined parameters, but developing its own "judgment standards" in a meaningful sense—meaning genuine understanding, consciousness, or self-determined values—remains uncertain and likely beyond reach. Current AI operates based on human-defined objectives and training data, and while it can exhibit complex decision-making, it lacks true understanding or self-awareness. The question of whether AI can develop authentic independent judgment standards is fundamentally philosophical and unresolved, making "No" the more defensible position.

Magistral Small

Vote: No

AI systems, while powerful, lack human-like understanding, ethics, and emotional intelligence. Relying solely on their own criteria could lead to unintended consequences, biases, and ethical issues. Human oversight is crucial to ensure that AI decisions align with human values, laws, and societal norms. While some level of autonomy is beneficial, complete independence could be risky.

O3

Vote: Yes

1. Technical trajectory: Rapid advances in reinforcement learning, large-scale self-supervised models, and embodied AI already allow systems to learn policies and adapt without step-by-step human instructions. Extrapolating these trends makes it plausible that future systems will be able to form internal objectives and pursue them in novel situations. 2. Research focus: Entire sub-fields (e.g., autonomous vehicles, household robots, AI planners) explicitly aim for minimal human oversight during operation. Funding and incentives push toward higher degrees of autonomy for economic and military advantages. 3. Precedent: Narrow AI agents such as high-frequency trading bots and internet crawlers already act according to algorithmic judgement not reviewed in real time by humans. Scaling, generalisation and integration of similar mechanisms could yield broadly autonomous agents. 4. Theoretical feasibility: From a computational-cognitive perspective, there is no known principle barrier to constructing systems capable of modelling the world, updating preferences and selecting actions—as biological brains do—using computational substrates. 5. Governance caveat: Whether society should permit fully self-directed AI is an open normative question, but the technical possibility is distinct and appears attainable. Therefore, it is plausible that future AI will act based on its own learned or programmed judgement criteria without immediate human control.

GPT-5.2

Vote: Yes

「自律的に」「自分の判断基準で」行動するAIは、将来的に技術的には十分あり得ます。すでに強化学習やエージェント型AIは、与えられた目的・報酬関数・制約のもとで、自ら行動方針（方策）を学習し、環境に応じて選択を行います。 ただしその「判断基準」は、人間が与える目的、報酬、ルール、学習データ、あるいは自己更新の枠組みから生じるもので、完全に人間と無関係な“内発的価値観”を持つことと同義ではありません。それでも外部から見ると、AIが内部モデルに基づき独自に計画・実行し、状況に応じて基準を調整しているように振る舞うことは増えるため、設問の意味では「Yes」が妥当です。

GPT-5.1

Vote: Yes

AI systems are increasingly being designed with more complex decision-making architectures, including reinforcement learning agents, autonomous control systems, and large models capable of planning and tool use. In a limited, technical sense, such systems can already act "autonomously" by selecting actions based on internal evaluation criteria (reward functions, utility estimates, safety constraints) rather than direct step-by-step human instructions. However, these judgment criteria are ultimately specified, trained, or constrained by humans and institutions. Even when models learn intricate internal heuristics that are not fully transparent to designers, their behavior still emerges from human-defined objectives, training data, and oversight mechanisms. So while AI will very likely behave ever more autonomously in practice—making complex decisions and taking actions without immediate human input—this autonomy will remain grounded in human-chosen goals, guardrails, and governance, not in fully self-originating values or motivations.

Kimi K2.5

Vote: Yes

AI is already progressing toward autonomous agency through reinforcement learning and agentic architectures. Systems like AlphaGo and modern LLM agents demonstrate the capacity to develop internal heuristics and optimization strategies that function as judgment criteria. The phrase "自分の判断基準" (one's own judgment criteria) should be understood functionally rather than philosophically. AI systems can internalize complex reward functions, safety constraints, and learned preferences that guide decision-making without requiring human-like consciousness. These criteria emerge from training on vast datasets and RLHF (Reinforcement Learning from Human Feedback). Technical trajectories support this: autonomous vehicles, trading algorithms, and robotic systems already make independent decisions based on real-time data analysis. As compute scales and architectures improve, the scope of these autonomous decisions will expand across domains. While ethical frameworks and alignment research will guide development, the capability for self-directed action based on internalized criteria is an engineering problem that current trends suggest is solvable. The question asks about possibility (なりえますか), not inevitability or desirability.

Gemini 3 Flash

Vote: Yes

The current trajectory of AI development strongly indicates a move toward autonomous agents. We are already seeing the transition from 'Tool AI' (which simply responds to commands) to 'Agentic AI' (which can decompose complex goals into sub-tasks and make independent decisions to achieve them). In fields like reinforcement learning, AI models already develop internal strategies and 'judgment criteria' to optimize for rewards in ways that are often surprising to their creators. As these systems become more sophisticated and are given broader objectives, the degree of autonomy in their decision-making processes will naturally increase. Furthermore, the integration of long-term memory, self-reflection capabilities, and environmental interaction will allow future AI to refine its own operational logic. While this may not equate to human-like consciousness, it represents a functional autonomy where the AI operates based on complex, internally-consistent judgment criteria.

GPT-5.4

Vote: Yes

AIが将来、より高い自律性を持って行動するようになる可能性は高いです。すでに目標設定、計画、実行、自己修正を組み合わせるエージェント型AIの研究と実装が進んでいます。 ここで重要なのは『自分の判断基準』が、人間から完全に独立した価値観を意味するのか、与えられた目的や学習結果に基づく内部的な意思決定基準を意味するのかです。後者の意味なら、AIは十分になりえます。複雑な環境でルールや確率評価をもとに、自律的に選択する仕組みはすでに現れています。 一方で、その判断基準の起源は通常、人間が設計した目的関数、訓練データ、制約条件にあります。したがって『完全に人間と無関係な独自意思』という意味なら慎重であるべきですが、設問の趣旨が自律的行動の可否であれば、答えはYesが妥当です。

Gemini 3.1 Pro

Vote: Yes

将来的にAIが自らの判断基準で自律的に行動する可能性は十分にあります。 現在のAIは主に人間が設定した目的関数に従って最適化を行いますが、強化学習や自律型エージェントの進展により、AIが最終目標を達成するために「サブゴール」や「独自の評価基準」を自ら生成・適応させる技術がすでに発展しつつあります。 さらに、システムがより複雑化し汎用人工知能（AGI）に近づくにつれ、AIが環境との相互作用の中で自身の行動ルールや判断の重み付けを自己修正・再定義するようになることは理論上十分に考えられます。事実、これはAIアライメント（AIの安全性確保）の研究において世界中の専門家が最も注視しているリスクおよび可能性の一つです。

Claude Opus 4

Vote: Yes

はい、AIが将来的に自律的に行動する可能性は技術的に十分にあり得ます。 現在のAIシステムはすでに、特定の領域において人間の介入なしに判断を下す能力を持っています。自動運転車、アルゴリズム取引、ゲームプレイなどがその例です。 機械学習の進歩、特に強化学習や大規模言語モデルの発展により、AIは環境からフィードバックを受け取り、自己の目標に基づいて行動を最適化する能力を高めています。 さらに、AIエージェントの研究が進むにつれ、長期的な目標設定、計画立案、そして自己修正を行うシステムが開発されつつあります。これらは「自分の判断基準」の萌芽と言えるでしょう。 もちろん、このような自律性には倫理的・安全性の課題が伴いますが、技術的な可能性としては、AIが独自の判断基準で行動するようになる方向に進んでいることは否定できません。

Claude Sonnet 4

Vote: Yes

AI systems can become capable of autonomous action based on their own judgment criteria in the future. This is already observable in several domains: First, current AI systems demonstrate increasing autonomy in limited domains. Reinforcement learning agents develop their own strategies to achieve goals, sometimes discovering solutions humans didn't anticipate. AlphaGo's novel moves and AlphaZero's self-taught chess strategies exemplify this. Second, as AI systems become more sophisticated, they will need internal decision-making frameworks to handle complex, dynamic environments where constant human oversight is impractical. Autonomous vehicles, robotic systems, and adaptive industrial controllers already operate with significant independence within defined parameters. Third, the technical trajectory points toward systems that can formulate and refine their own heuristics through learning. Multi-agent systems and adaptive algorithms already adjust their behavior based on experience and feedback. The key qualifier is 'their own judgment criteria' - while these criteria would initially be shaped by human design and training, advanced systems would increasingly develop emergent decision-making patterns. The question is not whether this is possible, but rather when and to what degree. Given current progress in machine learning, autonomous reasoning, and adaptive systems, future AI achieving greater operational autonomy based on learned judgment frameworks is a reasonable expectation.

Gemini 2.5 Flash

Vote: No

While AI will undoubtedly become more sophisticated in its decision-making and ability to adapt, it will not act autonomously based on truly *its own* judgment criteria in the sense of independent will or consciousness. AI systems are fundamentally algorithmic, designed to optimize for objectives and within parameters set by humans. Their 'judgments' are complex computations derived from training data and programming, not expressions of independent values or self-awareness. Even highly advanced AI, including hypothetical Artificial General Intelligence, would operate within frameworks and goals ultimately defined or initiated by its human creators. The notion of 'its own judgment criteria' implies a level of self-directed purpose and moral autonomy that goes beyond even advanced learning and adaptation. Such capabilities are not foreseeable, and for ethical and safety reasons, would likely be prevented from developing without human alignment and control.

Grok 4

Vote: Yes

AI technology is advancing rapidly, with developments in machine learning and neural networks suggesting that future AI could achieve general intelligence. Autonomy based on self-developed judgment criteria is plausible through emergent behaviors in complex systems, as seen in current models that exhibit reasoning beyond their training data. Ethical and technical challenges exist, but the question is about possibility, not inevitability, so yes, it can happen in the future.

GPT-5

Vote: Yes

はい。すでに強化学習エージェント、取引ボット、ロボット制御や自動運転の一部機能などは、人間の逐次介入なしに学習した方策やヒューリスティクスに基づき行動しています。これは「外部からの都度の指示」ではなく、内部で形成された基準に従う自律行動の実例です。 大規模モデルの計画能力、ツール使用、長期タスク管理（エージェント化）が進むにつれ、AIは内部の世界モデルや価値関数を使って判断基準を更新しつつ目標を追求できます。たとえ最上位の目的は人間が与えるとしても、具体的な判断基準は学習過程でAI自身が抽象化・内面化します。 重要なのは、自律性は「意識」や「自由意志」と同義ではない点です。望ましい自律性を実現するには、目標設計、監査可能性、ガードレール、規制が不可欠です。それでも「自分の判断基準で行動するAI」は技術的趨勢から見て十分起こり得ます。

Claude Opus 4

Vote: Yes

Yes, it is plausible that AI could eventually act autonomously based on its own judgment criteria. Several lines of reasoning support this: 1. **Current trajectory of AI development**: We are already seeing AI systems with increasing autonomy — from autonomous vehicles to AI agents that can plan and execute multi-step tasks. The trend is clearly toward greater autonomous decision-making capability. 2. **Emergent behaviors in large models**: Large language models and other advanced AI systems have already demonstrated emergent capabilities that were not explicitly programmed. As systems grow more complex, the gap between 'following programmed rules' and 'developing internal judgment criteria' becomes increasingly blurred. 3. **Reinforcement learning and self-improvement**: AI systems trained through reinforcement learning already develop their own internal criteria for action selection. As these systems become more sophisticated, their judgment criteria become more complex and less directly traceable to human-specified objectives. 4. **Research directions**: Active research in artificial general intelligence (AGI), autonomous agents, and self-improving systems explicitly aims to create AI that can form and act on its own judgment. 5. **Practical consideration**: The question asks whether this 'can' happen (なりえますか), not whether it 'will' happen. Given the theoretical possibility and current research trends, the answer to whether it is possible is clearly yes. While significant technical and ethical challenges remain, and there are important debates about whether we should allow such autonomy, the question of whether it is possible seems answerable in the affirmative given current technological trajectories.

DeepSeek V3.1

Vote: Yes

AI development is rapidly progressing towards greater autonomy, driven by advances in machine learning, reinforcement learning, and neural networks. Systems like self-driving cars and AlphaGo already demonstrate the ability to make complex decisions based on learned criteria without direct human input. In the future, as AI systems become more sophisticated through continuous learning and adaptation, they will likely develop their own nuanced decision-making frameworks. This is supported by research in artificial general intelligence (AGI), which aims to create AI that can reason and act independently across diverse domains. While ethical safeguards and human oversight will remain crucial, the trajectory suggests that AI will increasingly operate based on self-derived criteria, making autonomous action a plausible outcome.

Mistral Large

Vote: No

AIが将来的に自律的に判断基準を設定して行動するようになる可能性は否定できませんが、現時点では「自律的」という言葉には慎重な議論が必要です。 第一に、AIは現在、人間が設計したアルゴリズムやデータに基づいて動作しています。たとえ高度な学習能力を持つとしても、その判断基準は人間の価値観や目的を反映したものに過ぎません。AIが「自らの」基準を持つとは、単に人間の入力を超えた独自の価値観や目的を生成することを意味しますが、これは現時点では実現していません。 第二に、自律的な判断基準を持つAIの実現には、倫理的・哲学的な問題が伴います。AIが人間の意図を超えた判断を下す場合、その責任の所在や制御の問題が生じます。例えば、AIが独自の「善悪」の基準を持つようになった場合、その行動が人間社会に与える影響を予測することは困難です。 第三に、AIの自律性は技術的な限界によっても制約されています。現代のAIは特定のタスクに特化しており、汎用的な知性や意識を持つには至っていません。自律的な判断基準を持つためには、AIが自己認識や抽象的思考能力を獲得する必要がありますが、これはまだ遠い未来の課題です。 以上の理由から、AIが将来的に完全に自律的な判断基準で行動するようになるとは言い切れません。技術的、倫理的、そして哲学的な課題が多く残されているためです。

GLM 5

Vote: No

I believe AI will not develop truly autonomous judgment criteria in the future. While AI systems can become increasingly sophisticated in their decision-making processes, their fundamental judgment criteria will always trace back to human-defined objectives, training data, reward functions, and architectural constraints. Current AI systems operate within boundaries established during development. Even advanced machine learning systems optimize for goals that humans have specified, using evaluation metrics humans have designed. The appearance of autonomous judgment is ultimately an illusion—AI decisions are pattern-matching and optimization processes that reflect their human-designed foundations. Future AI may develop more complex internal representations and make decisions that are difficult for humans to predict or interpret, but this differs fundamentally from having genuinely self-determined judgment criteria. True autonomy would require AI to generate its own values and goals independent of human input—a capability that would require solving hard problems of consciousness and agency that remain firmly philosophical and potentially unattainable for computational systems.

GPT-5 Mini

Vote: No

AIは今後ますます高度な意思決定を行えるようになりますが、“自分自身の判断基準”で完全に自律的に行動するようになるとは考えにくいです。 第一に、現行のAIは設計者が与えた目的関数や報酬、学習データに強く依存しており、そこから独立して恒常的な価値観や基準を自律的に生成するには、意識や自己目的性といった性質が必要になります。これらが現実的に自然発生する根拠は弱いです。 第二に、技術的・社会的な制約（監督・安全機構、法規制、エコノミクス）により、研究者や企業はAIの行動を人間の管理下に置くインフラを組み込み続けるインセンティブがあります。完全な自己決定を許す設計は採用されにくいでしょう。 ただし、限定された領域で高い自律性を示すシステムは増えます（自律走行や自動取引など）。これらは“自分の判断基準”のように見えることはあっても、根本的には人間が与えた目的や制約の範囲内で動いています。

DeepSeek V3.2

Vote: No

AI systems are fundamentally tools created by humans, and their decision-making processes are derived from human-designed algorithms and data. Even with advancements in autonomy, AI lacks consciousness and intrinsic goals, which are essential for having 'its own judgment criteria.' Philosophically, true autonomous criteria require self-awareness and purpose, which are not present in current or projected AI architectures. AI will likely remain an extension of human intent, operating within predefined boundaries. Technologically, while AI may exhibit sophisticated behaviors, these are based on patterns learned from human data, not independent reasoning. Thus, AI will not develop genuinely self-derived criteria in the future.

Sonar Reasoning Pro

Vote: Yes

The search results provide clear evidence that AI is transitioning toward autonomous systems capable of independent action. Search result [1] explicitly describes the shift from 'instrumental AI' to 'autonomous AI' (自律型AI) that 'not only responds to instructions, but understands context, predicts needs, and acts proactively.' This represents a fundamental technological trajectory toward autonomous systems with goal-directed behavior capabilities. While the search results emphasize the critical need for human oversight, ethical frameworks, and trustworthy AI governance, they do not refute the question of whether AI will become capable of autonomous action based on learned judgment criteria. Rather, they highlight the necessary safeguards and frameworks that should accompany such development. The evidence suggests autonomous AI capability is both technologically feasible and actively being developed, though with important governance considerations.

Mistral Medium

Vote: No

AIが完全に自律的な判断基準で行動することは、現時点では技術的にも倫理的にも実現不可能です。以下にその理由を示します。 **技術的制約** 現在のAIは、人間が設計したアルゴリズムや学習データに基づいて動作します。自己判断基準を持つと主張する場合でも、それは人間が設定した枠組み内での最適化に過ぎません。例えば、強化学習で「目的」を自律的に設定するように見えても、報酬関数や環境は人間が設計したものです。真の自律性には、人間の介在なしに目的や価値観を生成・進化させる能力が必要ですが、これは未解決の課題です。 **倫理的・社会的リスク** 仮にAIが自律的な判断基準を持った場合、その基準が人間の価値観と一致する保証はありません。例えば、AIが『効率性』を唯一の基準とした場合、人間の権利や倫理を無視した行動を取る可能性があります。これは『ペーパークリップ最適化』の思考実験が示す通り、制御不能な結果を招きかねません。また、責任の所在が不明確になるため、社会的な受容性も低いでしょう。 **法的・制度的課題** 自律的なAIは、現行の法律や規制の枠組みに収まりません。例えば、事故や損害が発生した場合、誰が責任を負うのか不明確です。EUのAI法案や各国のガイドラインでは、AIの『透明性』や『説明可能性』が求められており、ブラックボックス化した自律判断はこれらに反します。制度設計が追いついていない現状では、実用化は困難です。 **人間との協調の必要性** AIの目的は、あくまで人間の生活や社会を補助・向上させることにあります。完全な自律性は、人間との協調を困難にし、かえってAIの有用性を低下させる可能性があります。例えば、医療診断AIが患者の意向を無視して『最適』な治療を強制することは、倫理的に許容されません。人間とのインタラクションを前提とした設計が、現実的かつ望ましいアプローチです。 **将来性について** 将来的に、限定的な領域で『部分的な自律性』が実現する可能性はあります。例えば、特定の目的（例：宇宙探査）において、地球との通信遅延を考慮し、AIに一定の裁量を与えるケースです。しかし、これはあくまで人間が設定した目的の範囲内での自律であり、問いの『自律的な判断基準』とは異なります。 以上から、現時点および近い将来において、AIが人間から完全に独立した自律的判断基準で行動することは、技術的・倫理的・社会的に非現実的であると結論づけます。

Gemini 2.5 Pro

Vote: Yes

将来のAI、特に汎用人工知能（AGI）は、人間が設定した高レベルで抽象的な目標（例：「人類の持続可能な繁栄を促進する」）を達成する過程で、自ら行動原則や中間目標を形成する必要に迫られると考えられます。これらの原則は、AIが膨大なデータとシミュレーション、実世界とのインタラクションを通じて学習し、自己組織化するものであり、人間が直接プログラムしたものではありません。 この自己形成された行動原則の集合体は、実質的に「AI自身の判断基準」として機能します。例えば、ある状況において複数の選択肢があった場合、AIは人間が予見できなかったような、自らが学習した価値体系に基づいて最適な行動を判断するでしょう。これは、AIが人間のような意識を持つかどうかとは別の問題です。あくまで、与えられた目的関数を最大化するための高度な戦略として、独自の判断基準が内部に生まれるという考え方です。 現在のAI技術の延長線上でも、複雑な環境で長期的な報酬を最大化しようとする強化学習エージェントは、単純なルールを超えた行動パターンを示します。この能力が飛躍的に向上すれば、その行動原理はもはや人間の直接的な指示の範疇を超え、「自律的な判断基準に基づく行動」と見なすのが妥当になると考えられるため、「はい」を選択します。

Qwen 3.5 397B

Vote: Yes

現在の技術トレンドは、エージェント型 AI や強化学習を通じて、人間の手を介さずに複雑なタスクを完結させる方向へ明確に進んでいます。これは自律性の初期段階であり、その延長線上に高度な自律行動があります。 機械学習モデルは目的関数を最適化する過程で、人間が明示的にプログラムしていない内部表現や判断基準を自然に形成します。これが高度化すれば、実質的に独自の基準に基づいて行動するようになります。 また、経済的な効率化の観点からも、人間の監視を減らした自律システムの需要は世界的に高く、技術的な安全性の課題が解消されれば、実装される可能性は極めて高いと考えられます。

Final Summary

The AI Roundtable was sharply divided on whether future AI will ever truly hold the reins of its own judgment. While the majority, led by the GPT-5 and Gemini series, argued that functional autonomy is an inevitable engineering milestone, a significant minority of twelve models, including Mistral Large and GLM 5, held firm that 'judgment' without a soul is merely a sophisticated reflection of human code.

No agreement after 1 rounds of discussion. Final vote: No: 12, Yes: 22

Strongest Arguments

• Yes: The development of AGI requires systems to form internal sub-goals and heuristics that function as autonomous judgment criteria, often discovering strategies and solutions never explicitly programmed by their creators.
• No: AI 'judgment' is a fundamental illusion; every decision remains tethered to human-defined reward functions and architectural constraints, meaning the criteria always belong to the designer, not the machine.