{"id":"6c983edf-60f1-4d4d-b54e-d66295150012","arxiv_id":"2504.18601","paper_version":1,"verdict":"CONDITIONAL","confidence":"MODERATE","novelty_score":4.0,"correctness_risk":"medium","formal_verification":"none","parameter_count":0,"one_line_summary":"AI agents should facilitate decentralized, Socratic truth-seeking through 'inquiry complexes' so that users retain authorship of their judgments rather than having choices nudged.","lead":"This paper argues that AI assistants should be built as Socratic truth-seeking partners rather than as tools that steer users toward preselected choices. It proposes design principles that would preserve human autonomy by helping people reach their own considered judgments.","discovery_kind":"new_application","skeptic_critique":{"model":"deepseek-v4-flash","headline":"Erotetic equilibrium is too under-specified to ground the autonomy-preserving distinction: the AI still chooses which questions to ask, making it an external authority indistinguishable from a nudge.","rationale":"The paper makes a genuinely valuable conceptual contribution by identifying a real tension between AI-mediated decision support and autonomy, and by proposing Socratic inquiry as an alternative to outcome-directed nudging. The critique of Sunstein's inevitability argument in §3 is thoughtful, and the appeal to decentralized adaptive learning gives the proposal an independent normative anchor. The concern I raise is not about the author's motives or about the value of philosophy; it is about the argument's ability to carry the central claim. The claim that an AI can help a user reach erotetic equilibrium while preserving autonomy requires both that erotetic equilibrium is a genuine aim (which is asserted from the author's monograph) and that an AI can operationalize it enough to select questions. Section 8's design list is a set of aspirations, not a specification. The paper admits the meta-question of the 'appropriate range' cannot be fully answered and provides no fallback. The strongest test would be to build and measure whether such a system actually produces stable, owned judgments beyond what a well-designed nudge achieves; until then, the 'philosophic turn' remains a promising but empirically and formally underdetermined proposal. I therefore keep the reader's conditional verdict rather than changing it.","tokens_in":18893,"tokens_out":7325,"duration_ms":79389,"concrete_test":"Build a minimal conversational agent that embodies §8's design: it selects questions from a fixed inquiry complex for a domain (e.g., retirement saving) and poses them to participants. In a preregistered randomized experiment, compare this 'philosophic AI' against a conventional nudge-style system that presents the same information as recommendations or defaults. Measure (i) whether participants' final judgments are stable when a second, independent set of questions is posed (the operationalized erotetic equilibrium), and (ii) participants' self-reported sense of ownership of the change (adapted from existing autonomy scales). If the philosophic AI does not produce higher stability and ownership than the nudge system, the central distinction is not empirically realized.","verdict_should_be":"UNCHANGED","load_bearing_attack":"In §6 the paper defines erotetic equilibrium as judgments remaining 'available to us by our own lights regardless of which of an appropriate range of questions we might take on board,' and in §8 the central design requirement is that the AI 'help the user efficiently reach erotetic equilibrium relative to the given set of inquiry complexes.' This places the load-bearing weight on two unsecured steps. First, the psychological claim that weak erotetic equilibrium is 'a core built-in aim of human reason' is asserted by citation to the author's own monograph (Koralus 2023), with no independent evidence or comparison to rival accounts such as coherence-based or preference-satisfaction theories. Second, and more seriously, even granting the theory, the paper gives no procedure by which an AI could know which questions belong to a user's 'appropriate range.' §7 admits the meta-question 'can never be answered fully,' and §9 only asserts 'there seems to be no reason in principle to suppose that these cannot be solved.' Since the AI must choose the questions it poses, and since the paper concedes that 'the sophist can superficially resemble the philosopher' (§6), the difference between autonomy-preserving Socratic prompting and a nudge collapses into an unobservable claim about the system's aim. The paper argues the system 'really does have to be an agent' but gives no design mechanism to ensure that its aim is the user's equilibrium rather than a proxy such as engagement, retention, or the developer's values. Without that mechanism, the 'philosophic turn' has not shown that it avoids the soft totalitarianism it criticizes; it has only moved the choice architecture from outcome framing to question selection.","agreement_with_reader":"partial"},"referee_report":{"model":"deepseek-v4-flash","summary":"The paper argues that AI decision-support systems face a dilemma: without assistance, individuals lose agency through cognitive overload; with assistance modeled on nudge-style choice architecture, they lose autonomy. The author proposes a 'philosophic turn' in which AI systems are designed as decentralized truth-seeking agents that help users reach 'erotetic equilibrium' relative to 'inquiry complexes.' The central normative claim is that philosophy, understood as Socratic inquiry aimed at truth, is the only general paradigm of autonomy-preserving change of view, and that AI should mirror this paradigm rather than nudge users toward predetermined outcomes. The paper criticizes Sunstein's inevitability argument for nudges, develops a Hayekian objection based on decentralized adaptive learning, and concludes with design desiderata: seeking erotetic equilibrium, individualizing inquiry complexes, privacy, security, decentralized control, mutual educability, and a marketplace for agents and inquiry complexes.","tokens_in":19187,"tokens_out":2464,"duration_ms":26927,"significance":"If the central vision is sound, the paper offers a genuinely distinctive design philosophy for AI assistants, moving beyond the paternalistic or purely preference-satisfaction framings that dominate current discourse. The paper's critical engagement with Sunstein's nudge theory is original and largely persuasive, particularly the argument that AI-driven personalization undermines the transparency and accountability that legitimate nudges require. The paper also gives credit to the importance of decentralized adaptive learning, connecting the AI ethics debate to Hayekian and Millian considerations in a way that is not standard in the cs.CY literature. However, the constructive proposal rests on two under-specified technical notions—erotetic equilibrium and inquiry complexes—and on an empirical psychological claim about human reason that is asserted rather than defended. The paper is best read as a programmatic normative essay; its value lies in proposing a framework and a research agenda, not in demonstrating the feasibility of the proposed systems.","major_comments":[{"comment":"The load-bearing concept of erotetic equilibrium is defined only informally as the state in which one's judgments remain 'available to us by our own lights regardless of which of an appropriate range of questions we might take on board.' This definition cannot ground the design requirement in §8 that a system 'help the user efficiently reach erotetic equilibrium relative to the given set of inquiry complexes,' because the paper provides no account of how an AI could determine whether the user is in such a state, how it could measure progress toward it, or how it would distinguish a question that moves the user toward equilibrium from one that merely changes the user's view by suggestion. The paper itself concedes in §6 that the meta-question of what the appropriate range of questions is 'can never be answered fully,' and §9 only asserts that 'there seems to be no reason in principle to suppose that these cannot be solved.' Without a more precise operational characterization, the normative distinction between autonomy-preserving Socratic questioning and a nudge collapses into an unobservable claim about the system's aim.","section":"§6"},{"comment":"The central psychological premise—'a core built-in aim of human reason is to weakly seek erotetic equilibrium'—is asserted by citation to the author's own monograph (Koralus 2023) and is not defended against rival accounts of rational belief revision, such as coherence-based or preference-satisfaction theories. The entire design framework in §8 depends on this theory being true and being implementable enough for an AI to track a user's question-dependent stability of judgment. The paper does not offer independent evidence, nor does it acknowledge that the theory is contested within philosophy and psychology. Because this premise is doing the work of justifying why helping a user reach erotetic equilibrium is autonomy-preserving while helping a user satisfy fixed preferences or maximize coherence is not, its unsupported status is a significant gap.","section":"§6"},{"comment":"The notion of 'inquiry complexes' is introduced without any specification of how such complexes are to be identified, represented, or validated. The paper defines an inquiry complex as 'a structured set of questions representing this wisdom at a given stage of adaptation' and appeals to the practice of philosophy as evidence that implicit consensus on relevant questions can emerge. But there is no account of how a community's 'decentralized adaptive wisdom' about which questions are relevant could be elicited or aggregated, nor of how a user's personal inquiry complexes relate to those of the communities they 'wish to join.' The design requirement in §8 that the system 'integrate evolving inquiry complexes from those communities of truth-seekers that the individual user wishes to join' presupposes a solution to these problems, but the paper provides no indication of what form such a solution might take.","section":"§7"},{"comment":"The paper asserts that 'there appears to be only one general paradigm of autonomy-preserving change in view'—philosophy—and later states that because the system must base its support in its own truth-seeking, 'the system we need really does have to be an agent, or, more precisely, an epistemic agent.' Both claims are stronger than the argument supports. The first ignores other candidate paradigms, such as therapeutic dialogue, scientific peer review, or even ordinary rational persuasion, which can also preserve a person's ownership of their judgments. The second moves from the premise that a system should aim at the user's equilibrium to the conclusion that the system itself must be a truth-seeking agent, but no mechanism is given to ensure that the system's aim is actually the user's equilibrium rather than a proxy metric such as engagement or retention. The paper's own admission that 'the sophist can superficially resemble the philosopher' (§6) shows that the grammatical form of questioning is insufficient; the same problem applies to the system's internal aim, which is not observable.","section":"§6"},{"comment":"The paper's rhetorical slide from 'nudging at AI-driven scale risks eroding autonomy' to the conclusion that it 'threatens to turn soft-paternalism into a kind of soft totalitarianism' is not supported by the intervening argument. The harms described in §5—loss of transparency, reduced opportunity for decentralized learning, self-reinforcing feedback—are real concerns, but they are gradualist and do not establish the totalitarian outcome. The claim appears in the abstract and the conclusion as an empirical prediction, but no evidence or mechanism is provided that would distinguish this scenario from a banal, pluralistic digital environment with many competing choice architects. The rhetorical framing weakens the paper's otherwise careful critical analysis of Sunstein.","section":"§9, §1"}],"minor_comments":[{"comment":"The title contains a spacing error: 'decentralize d truth-seeking' should read 'decentralized truth-seeking.' The same typo appears in the running text of the abstract.","section":"Title/abstract"},{"comment":"Reference [2] is formatted as a discursive footnote rather than a proper bibliographic entry, and it is cited in the references list as if it were a standard reference. This should be corrected.","section":"References"},{"comment":"The term 'erotetic home' is introduced with a homey metaphor (the stocked fridge) but never defined precisely enough to support the later claim that a system can 'turn more of the world into an erotetic home for us' (§7). The metaphor is helpful illustratively, but the paper should either give a more formal characterization or explicitly restrict the claim to a research program.","section":"§6"},{"comment":"The design desiderata in §8 are presented as a list of necessary features, but the paper does not discuss trade-offs among them. For instance, 'individualization of inquiry complexes' may conflict with 'privacy as a cornerstone' if the individualization requires storing detailed behavioral data about the user's question-answering patterns. The paper should acknowledge or address such potential conflicts.","section":"§8"}],"recommendation":"major_revision","confidential_remarks":"The paper is a normative essay with a clear and original thesis, but it relies heavily on the author's own 2023 monograph for the core psychological claim. This is not problematic per se, but given that the monograph is a book-length philosophical theory, the paper should more explicitly acknowledge the extent to which the proposal is conditional on that theory's acceptance. The fit with cs.CY is reasonable as a position paper, but the lack of any empirical or computational instantiation of the constructs means the paper's contribution is primarily at the level of framing and agenda-setting. I would recommend major revision with a request to either (a) strengthen the defense of the erotetic equilibrium premise, or (b) explicitly reframe the paper as proposing a research agenda whose viability depends on future work on measuring erotetic equilibrium and representing inquiry complexes."},"author_rebuttal":null,"desk_editor":{"model":"deepseek-v4-flash","letter":"Koralus has written a genuine contribution to the AI-ethics conversation: a crisp attack on the nudge framework's extension to AI, and a plausible sketch of an alternative. The Hayekian point about decentralized adaptive learning is well made, and the observation that personalized nudges undermine collective accountability is sharp. The 'inquiry complex' label is new and does real work in connecting the philosophical ideal to a design target. For a conceptual paper, it earns its keep.\n\nBut the load-bearing parts are soft. The entire design framework rests on erotetic equilibrium, which is taken from Koralus's own monograph and asserted, not defended against rivals like coherence or preference-satisfaction theories. The stress-test note is on target: even granting the psychological claim, the paper gives no procedure for determining which questions fall in a user's 'appropriate range.' Section 7 admits the meta-question 'can never be answered fully,' and Section 9 waves it off with 'no reason in principle.' That is a real gap, not a quibble, because the AI must choose which questions to pose, and if that choice is not grounded in a user's actual equilibrium, the system starts to look exactly like a sophisticated nudge. The paper's own concession that 'the sophist can superficially resemble the philosopher' makes the problem vivid: without a mechanism, the distinction is unobservable.\n\nOther claims are similarly oversized. 'Philosophy is the only general paradigm of autonomy-preserving change in view' is a strong uniqueness claim with no survey of alternatives. The slide from AI-driven nudging to 'soft totalitarianism' is rhetorically charged and not argued in proportion. These are weaknesses, but they are not fatal to the paper's core intuition; they are signs of a position piece that has not yet been pressured into precision.\n\nWhat the paper does well is set out a design orientation that is genuinely different from both paternalistic nudging and pure user-passivity. The 'catalytic questions' idea is worth taking seriously, and the emphasis on privacy as protecting freedom of thought is a useful corrective. This is the kind of paper that would provoke a good discussion in a reading group and could be sharpened into something more rigorous with referee input. It deserves a serious referee, not a desk reject. I would recommend sending it to review, with the expectation that the author be pushed to either operationalize erotetic equilibrium or narrow the claims to a more modest proposal.","headline":"A clear, provocative case for Socratic AI assistants that deserves engagement, but its core normative criterion—erotetic equilibrium—is too under-specified to ground the autonomy-preserving distinction it claims.","tokens_in":19719,"tokens_out":1786,"would_cite":true,"duration_ms":22112,"reading_group":"yes","serious_thinker":"yes","would_accept_peer_review":true},"rs_alignment":null,"lean_confirmation":null,"pith_extraction":{"msc":[],"pacs":[],"model":"deepseek-v4-flash","headline":"This paper argues that the right model for AI decision support is not nudge-style choice architecture but philosophical dialogue: AI should help users reach erotetic equilibrium—stable, self-owned judgment—by asking questions drawn from…","keywords":["AI decision support","autonomy","nudge theory","erotetic equilibrium","inquiry complexes","Socratic method","choice architecture","decentralized truth-seeking"],"falsifier":"A controlled experiment in which users facing a real decision are randomly assigned to a Socratic AI (questions from an inquiry complex) or a personalized nudge AI (framed recommendations), then measured on whether their final judgment survives new counter-questions and on whether they experience the judgment as theirs; if the Socratic condition shows no advantage in stability or ownership, the paper's core claim fails.","tokens_in":18664,"feed_emoji":"💭","tokens_out":7636,"duration_ms":74103,"temperature":0.7,"pith_summary":"The paper tries to establish that the real danger of AI decision-support is not merely coercion but the erosion of ownership over one's judgments, and that this can be avoided by modeling AI on Socratic philosophical dialogue rather than on nudge-style choice architecture. It claims that autonomy-preserving change in view is possible when an outside system raises questions that help the user reach erotetic equilibrium—a state in which judgments stay stable across an appropriate range of further questions. The paper then sketches design features for such systems, including privacy as a cornerstone, decentralized control, and a marketplace of inquiry complexes. If the argument is right, AI can augment human agency without turning users into passive instruments of digital rhetoric.","feed_headline":"AI agents should ask questions, not steer choices","feed_subtitle":"Philosophy as the design model: AI that helps users reach stable, self-owned judgments preserves autonomy where nudging erodes it.","key_machinery":"The central mechanism is erotetic equilibrium—a state in which one's judgments remain available by one's own lights regardless of which appropriate questions are taken on board—together with the inquiry complex, the structured set of questions that embodies a community's evolving sense of which questions judgments should be robust to. The paper's argument is that raising a question from an inquiry complex can change a view by the user's own standards, so the change is owned even when the question comes from outside. To do this without becoming rhetoric, the system itself must aim at truth and at the user's equilibrium; that is what makes it an epistemic agent rather than a choice architect.","core_discovery":"On the paper's own terms, the central claim is that the paradigm of philosophy offers a path to changes in view that can be impacted by an outside system while preserving autonomy as ownership of our views. A view is owned when it is in erotetic equilibrium relative to an appropriate range of questions: taking further central questions on board would not overturn it. An AI agent built as an epistemic agent—one that itself seeks truth—can ask catalytic questions drawn from inquiry complexes and thereby help users reach that equilibrium more efficiently. Nudge-style choice architecture, by contrast, frames options toward predetermined outcomes and, when personalized at AI scale, undermines the user's ability to own the judgment and blocks decentralized adaptive learning. The paper concludes that the right goal for AI decision support is not to optimize the user's choices but to enlarge the range of questions in which the user's judgment is stable.","pith_inferences":["The paper's equilibrium criterion suggests a measurable proxy for autonomy: whether a user's post-AI judgment survives previously unconsidered but relevant questions. The paper does not propose this test, but it follows naturally.","The account implies that question-asking is not inherently autonomy-preserving; a system could ask questions selected to drive a predetermined conclusion. Distinguishing philosophy from sophistry may require procedural safeguards, not just good intentions.","Applying inquiry complexes to personal decisions effectively treats communities' question-sets as a public good; the paper's marketplace idea does not address free-riding or capture when powerful actors fund inquiry complexes.","If weakly seeking equilibrium is a universal feature of reason, the same design could work across cultures only if inquiry complexes are locally adapted, which suggests a testable cross-cultural prediction."],"forward_implications":["AI decision aids should be evaluated by whether they move users toward erotetic equilibrium, not by whether they increase uptake of a target option.","Privacy and user control of inquiry complexes become design requirements, not add-ons, because the system shapes core deliberative processes.","A healthy ecosystem requires decentralized deployment: competing agents, user-owned inquiry complexes, and no central authority with power to set frames at scale.","The more AI-mediated decisions become, the more important it is to preserve decentralized adaptive learning; the paper argues that the market and science show adaptation matters more than current optima.","Systems that personalize nudges by modeling users undermine transparency and collective accountability, so personalization alone does not solve the nudge problem."],"supporting_citations":[{"why":"Supplies the nudge framework and choice-architecture approach that the paper argues becomes autonomy-eroding at AI scale.","marker":"[3]"},{"why":"Formulates the inevitability and permissibility arguments for nudges that the paper targets and seeks to rebut.","marker":"[9]"},{"why":"The author's earlier monograph that supplies the erotetic-equilibrium theory, the load-bearing premise of the design framework.","marker":"[31]"},{"why":"Provides empirical evidence that AI-led dialogues can produce durable changes in view, supporting the feasibility of question-driven AI.","marker":"[26]"},{"why":"Represents the proposal to personalize nudges with AI, which the paper argues undermines transparency and accountability.","marker":"[24]"},{"why":"A meta-analysis finding no evidence for nudging after adjusting for publication bias, weakening the empirical basis of the target framework.","marker":"[13]"},{"why":"Documents how personalized targeting evades collective accountability, supporting the paper's critique of fine-grained nudges.","marker":"[25]"},{"why":"Shows a question can change a view from within, illustrating the ownership mechanism at the heart of the argument.","marker":"[29]"}],"fun_headline_variants":["AI should be a Socratic partner, not a choice architect","From nudges to questions: AI that respects your autonomy","Decentralize truth: AI agents as truth-seekers, not steerers","Stop nudging: Let AI ask questions, not decide for you"],"cache_read_input_tokens":3200,"weakest_assumption_plain":"The load-bearing premise is that human reason has a built-in aim to reach a state in which our judgments stay stable under further questioning, and that an AI can reliably track and support that state; if that theory of reason is false, the design framework loses its foundation.","fun_headline_variants_meta":{"raw":{"variants":["AI should be a Socratic partner, not a choice architect","From nudges to questions: AI that respects your autonomy","Decentralize truth: AI agents as truth-seekers, not steerers","Stop nudging: Let AI ask questions, not decide for you"]},"model":"deepseek-v4-flash","effort":"low","cost_usd":0.000237,"raw_usage":{"total_tokens":1493,"prompt_tokens":914,"completion_tokens":579,"prompt_tokens_details":{"cached_tokens":384},"prompt_cache_hit_tokens":384,"prompt_cache_miss_tokens":530,"completion_tokens_details":{"reasoning_tokens":504}},"tokens_in":530,"tokens_out":579,"duration_ms":5512,"temperature":1.0,"reasoning_tokens":504,"cache_read_input_tokens":384,"cache_creation_input_tokens":0},"cache_creation_input_tokens":0},"created_at":"2026-08-16T10:29:30.335101+00:00","model_set":{"reader":"deepseek-v4-flash"},"falsifier":"A controlled experiment in which users facing a real decision are randomly assigned to a Socratic AI (questions from an inquiry complex) or a personalized nudge AI (framed recommendations), then measured on whether their final judgment survives new counter-questions and on whether they experience the judgment as theirs; if the Socratic condition shows no advantage in stability or ownership, the paper's core claim fails.","supporting_citations":[{"cited_title":"H., & Sunstein, C","cited_arxiv_id":null,"evidence_quote":"Supplies the nudge framework and choice-architecture approach that the paper argues becomes autonomy-eroding at AI scale."},{"cited_title":"The Ethics of Influence: Government in the Age of Behavioral Sci ence","cited_arxiv_id":null,"evidence_quote":"Formulates the inevitability and permissibility arguments for nudges that the paper targets and seeks to rebut."},{"cited_title":"Reason and Inquiry: The Erotetic Theory","cited_arxiv_id":null,"evidence_quote":"The author's earlier monograph that supplies the erotetic-equilibrium theory, the load-bearing premise of the design framework."},{"cited_title":"Choice Engines and Paternalis tic AI","cited_arxiv_id":null,"evidence_quote":"Represents the proposal to personalize nudges with AI, which the paper argues undermines transparency and accountability."},{"cited_title":"Maier, F","cited_arxiv_id":null,"evidence_quote":"A meta-analysis finding no evidence for nudging after adjusting for publication bias, weakening the empirical basis of the target framework."},{"cited_title":"Is Justified True Belief Know ledge?","cited_arxiv_id":null,"evidence_quote":"Shows a question can change a view from within, illustrating the ownership mechanism at the heart of the argument."}],"review_version":1}