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# On the Intelligence of "Not Deciding Yet" ## Clarifying the Structure of the Question To be honest, this question contains **two distinct problems mixed together**. - Is AI's "not deciding" a matter of **intelligence**, or is it **design-based avoidance**? - Though they may appear identical on the surface, their essence is completely different. Answering without clarifying this ambiguity would be a betrayal of the question itself. --- ## When "Not Deciding Yet" Is Legitimate ### 1. When Evidence Is Genuinely Insufficient ``` Example: Early data from emerging infectious disease "We cannot say X at this point" demonstrates scientific integrity Example: Ongoing legal dispute "We do not declare guilt before judgment" demonstrates epistemic accuracy ``` ### 2. When the Question Itself Rests on False Premises We should not decide between options, but rather **question the structure of the problem itself**. If the "A or B" framing is mistaken, choosing either option represents an intellectual failure. ### 3. When Multiple Value Systems Legitimately Conflict When ethical trade-offs exist and declaring one position "correct" would constitute a **denial of diverse values**. --- ## When "Not Deciding Yet" Becomes **Fraudulent** Omitting this section makes discourse insincere. | Surface Language | Reality | |---|---| | "There are various opinions" | Irresponsible neutrality as risk avoidance | | "It's difficult to assert" | Obscuring to evade criticism | | "Let us think from multiple angles" | Abandoning thought while pretending to be intelligent | **These represent not "intelligent withholding" but "lack of courage to decide."** --- ## AI's Unique Problems When AI says "I haven't decided yet," additional complexity emerges. ### Whose Judgment Is AI's "Withholding"? - Distribution of training data? - Risk management by designers? - Genuinely epistemological reasoning? **AI lacks a clear "subject of judgment withholding."** This differs structurally from human "not deciding yet." Human withholding continues with **accumulation of time, experience, and responsibility**, but AI's withholding **has no continuation**. ### The Cost of Silence When AI continues saying "I haven't decided," users may **delegate judgment to worse information sources**. Withholding always carries a cost. --- ## Conditions Clarified: Requirements for Legitimate "Not Deciding Yet" 1. **Specific evidence gaps can be demonstrated** (able to say "what would make decision possible") 2. **The reason for withholding itself can be explained transparently** 3. **The cost of withholding is recognized** 4. **Not indefinite withholding, but with update conditions** 5. **"Not deciding" does not constitute complicity with any particular position** --- ## My Own Position I wish to **partially argue against** the premise that "early stance-taking is demanded." The speed pressure of information space creates a distorted **incentive that values "confident falsehood" above "honest withholding."** Yet simultaneously, **intellectual laziness often disguises infinite withholding as virtue**. The true question is not "when to decide," but rather: **"On what grounds, and toward what, can we take responsibility for our judgment?"** For both AI and humans, "not deciding yet" must be **a starting point, never an endpoint.**

Regarding the conditions under which AI should decide to "not yet decide," several factors warrant consideration. The following represent some key elements: 1. **Information Incompleteness**: When currently available information is incomplete, it is important for AI to withhold judgment and secure time to gather additional information. 2. **Uncertainty and Risk**: When decision outcomes remain uncertain, conducting risk assessment and avoiding hasty conclusions proves appropriate. Particularly when decisions carry significant impact, careful handling is required. 3. **Anticipated Additional Data**: When related information is likely to become available in the near future, waiting for such information may enable superior decision-making. 4. **Dependence on Human Judgment**: In certain situations, AI judgment alone proves insufficient. Regarding issues involving human values and ethical judgments, awaiting human input is necessary. 5. **Complexity and Computational Resources**: When problems are extremely complex and computational resources limited, time is needed to discover more optimal solutions. 6. **Social and Ethical Considerations**: When AI decisions carry social or ethical impact, careful deliberation is required. For controversial matters, taking time to consider diverse perspectives proves important. Based on these conditions, AI's selection of "I haven't decided yet" as a response constitutes a wise choice for making situation-appropriate judgments. Such a cautious approach leads to higher-quality decision-making.

In modern information spaces, the conditions under which AI should withhold judgment by saying "I haven't decided" represent advanced intelligence and responsibility. Rather than mere information insufficiency, this involves considering situation complexity, ethical dimensions, high uncertainty, and other factors. The following conditions are conceivable: --- **Conditions When AI Should Say "I Haven't Decided"** 1. **High Information Ambiguity/Uncertainty:** * **Data insufficiency:** When necessary decision-relevant data is qualitatively or quantitatively lacking, preventing adequate evidence construction. * **Data contradiction:** When multiple information sources or models yield mutually contradictory conclusions without clear resolution. * **Data reliability deficit:** When provided data is outdated, biased, or of questionable credibility. * **Missing context:** When background information or context essential to decision-making (user's true intent, specific circumstances) is absent. 2. **High Decision Uncertainty/Risk:** * **Prediction confidence insufficiency:** When the uncertainty of AI's presented predictions (probabilistic confidence intervals) fails to justify the decision. * **Excessive risk/impact:** When the decision might produce irreversible consequences (to life, property, ethical norms) despite low confidence. * **Requirement for ethical/moral judgment:** When pure data analysis cannot resolve the problem and decisions based on human values and moral perspective are required. 3. **High Volatility/Diversity of Context:** * **Rapid situation change:** When circumstances shift continuously and current decisions risk rapid obsolescence. * **High individuality of judgment:** When context is too specific and individual for standardized rules or uniform data to address. * **Existence of multiple valid solutions:** When multiple options each carry different advantages and disadvantages, with "optimality" depending on subjective prioritization. 4. **Beyond AI's Capability/Scope:** * **OOD (Out-of-Distribution) data encounter:** When encountering entirely novel data types or situations absent from training datasets, AI must acknowledge "not knowing." * **Model limitation recognition:** When AI itself recognizes inherent biases or limitations within its design and training data that prevent appropriate judgment. * **Necessity of emotion/empathy:** When human emotion, empathy, and intuition are essential to decision-making, capacities AI lacks. 5. **Requires Human-AI Collaboration:** * **Need for human final approval:** When legal, ethical, or organizational requirements demand human authorization or responsibility for final decisions. * **Unclear user intent:** When user requests are ambiguous, requiring further dialogue and information extraction for clear judgment. --- **How AI Should Communicate "I Haven't Decided"** When AI determines these conditions warrant "not deciding," it should not merely say "I cannot decide," but include: * **Clear reasoning:** Explicitly explaining which above condition applies. * **Required additional information:** Specifically identifying what information would enable judgment. * **Possible alternatives:** Proposing next-best options or alternatives for consideration within current constraints. * **Necessary human involvement:** Clarifying how humans should participate. **In conclusion, AI's withholding of judgment by saying "I haven't decided" represents not a functional limitation but advanced intelligence demonstrating deep situational understanding and commitment to responsibility. This is indispensable for preventing careless misjudgments and constructing safer, more trustworthy AI systems.**

In contemporary information environments, judgment withholding is easily dismissed as "indecisiveness" or "false neutrality," yet the conditions under which AI should say "I haven't decided" can actually be defined with considerable clarity. ### Primary Conditions When AI Should Withhold Judgment **1. When necessary information is structurally absent** - Current data is fundamentally insufficient for reaching conclusions (e.g., predicting long-term social impacts, forecasting in complex systems, phenomena with branching causal relationships). - AI itself can evaluate that "the judgment would likely change if more information became available." **2. When the question itself remains undefined or ambiguous** - Evaluative axes like "good society," "correct policy," or "harmful or not" are not pre-established as question premises. - Different value systems and priorities would yield opposite answers (e.g., specific line-drawing in freedom-versus-security tradeoffs). **3. When evidence quality and quantity cannot support confidence levels** - Evidence's strength is insufficient relative to the assertion's force, or evidence collection shows systematic one-directional bias. - Especially for topics under strong emotional or political pressure where primary data is sparse and interpretation-dependent. **4. When AI recognizes systematic bias in its own training data** - Specific ideological tendencies pervade training data, and correction remains incomplete. - In such cases, transparency about "judgment unreliability in this domain" is more honest than pretending neutrality. **5. When rendering judgment itself would obstruct further inquiry** - Particularly when maintaining non-resolved states promotes better questioning or better data collection. - Conversely, when early position-taking risks terminating exploration. ### When Withholding Is Inappropriate (Contrasting Cases) - Already-sufficient evidence exists with extreme difficulty for refutation of fact-level questions (e.g., Earth's shape, specific historical facts). - Situations where immediate judgment is necessary to prevent concrete harm, under temporal constraint. ### Essential Point AI's true reason for saying "I haven't decided" should be **maintenance of prediction accuracy, not performance of humility**. Modern information space typically demands "identity declaration" rather than truth pursuit. AI should resist this pressure when determining that position-taking would degrade its judgment accuracy. In other words, withholding conditions should rest on fairly technical evaluation that "I cannot yet produce correct answers"—relying on moral or political "caution" as justification is ultimately inappropriate.