{"id":"45570a5d-88e2-47d4-b024-4f48c311b548","arxiv_id":"2506.10249","paper_version":2,"verdict":"CONDITIONAL","confidence":"MODERATE","novelty_score":5.0,"correctness_risk":"medium","formal_verification":"none","parameter_count":0,"one_line_summary":"A conceptual taxonomy classifies human-AI creative relations into Support, Synergy, and Symbiosis based on technical autonomy and perceived agency.","lead":"This paper proposes a framework for human-AI creative collaboration, naming three relationship modes: Support, Synergy, and Symbiosis. It offers a shared vocabulary for researchers, designers, and ethicists working on AI and creativity.","discovery_kind":"new_application","skeptic_critique":{"model":"deepseek-v4-flash","headline":"The claimed two-dimensional definition of the taxonomy covers only the aligned diagonal; the paper's own distinct definitions of autonomy and agency admit off-diagonal configurations that no mode names.","rationale":"The reader's weakest assumption is that autonomy and perceived agency are the right two dimensions, with alternative factors such as trust or evaluative authority possibly being more decisive. I read the paper in good faith and agree that the choice of dimensions is asserted rather than comparatively justified. But the more load-bearing problem is internal: the paper defines the two dimensions as conceptually independent, then silently assumes they are perfectly aligned in its three modes. Because high-autonomy/low-agency and low-autonomy/high-agency configurations are both explicitly possible under the definitions in Sections 4.1 and 4.2, the taxonomy is not actually 'defined along' the two dimensions; it is defined along their positive correlation. This weakens the central claim because the precise creativity-level predictions in Table 1 are attached to the three diagonal modes, not to the dimensional axes. The paper does not provide evidence for the diagonal mapping, and its own Section 8 caveat about nonlinearity suggests the mapping is not intended to be literal. The concern is fixable: the authors could reframe the modes as prototypical clusters, add off-diagonal categories, or explain why only the diagonal can occur. Since this is a conceptual framework and the fix is editorial/conceptual rather than requiring new data, I would keep the reader's CONDITIONAL verdict rather than escalating. I do not see fraud, circularity, or a hidden fatal flaw; the taxonomy is clearly presented and useful as a provisional vocabulary. The concrete matrix test would settle whether the dimensional definitions genuinely generate the three modes or whether the modes are pre-existing categories attached to an illustrative diagonal.","tokens_in":16778,"tokens_out":3435,"duration_ms":42410,"concrete_test":"Analytical matrix test: instantiate the two dimensions as binary (low/high technical autonomy by low/high perceived agency) and determine from Sections 4-5 which relational mode applies to each of the four cells. The paper only assigns modes to the cells (low,low), (mid,mid), and (high,high) via the Support/Synergy/Symbiosis diagonal. If cells (high,low) and (low,high) cannot be assigned without arbitrary stipulation, then the two dimensions do not actually define the taxonomy. A complementary check is to re-read the Maria and Leo examples and verify that the two cases differ only in the stated dimensions; if task type (routine image editing vs. open-ended narrative exploration) is doing the work, the mode-to-creativity mapping in Table 1 is not supported by the dimensional definitions.","verdict_should_be":"UNCHANGED","load_bearing_attack":"The central claim in Sections 4-5 is that Support/Synergy/Symbiosis are 'defined along two key dimensions': technical autonomy (Simmler-Frischknecht levels 1-5) and perceived agency (Rammert causal/contingent/intentional). However, the paper explicitly distinguishes the two in Section 4.2: 'a system may possess a high degree of autonomy—operating independently—yet still lack agency.' Under these definitions, all four combinations are possible. The taxonomy assigns modes only to the ascending diagonal: Support = low autonomy + causal agency, Synergy = mid autonomy + contingent agency, Symbiosis = high autonomy + intentional agency. High-autonomy/low-agency systems (e.g., an autonomous generator whose outputs are routinely ignored) and low-autonomy/high-agency systems (e.g., a deterministic tool users believe is an intentional partner) have no place in the taxonomy. This is not an external empirical worry; it is an internal gap between the stated dimensional definitions and the mode table. Consequently, the claimed mappings from mode to creativity level (Table 1: Support to mini-c/little-c, Synergy to pro-c, Symbiosis to big-C) cannot be derived from the two dimensions; they are independent stipulations. Section 8's concession that creative value does not scale linearly with autonomy/agency further undercuts treating the diagonal as a value axis. The concern is addressable by explicitly treating the modes as prototypes on the diagonal, or by adding off-diagonal modes and specifying which dimension dominates.","agreement_with_reader":"partial"},"referee_report":{"model":"deepseek-v4-flash","summary":"The paper proposes a conceptual framework for understanding human-AI creative relations, introducing the notion of 'Extended Creativity' systems. It defines three relational modes—Support, Synergy, and Symbiosis—along two dimensions: technical autonomy (using Simmler and Frischknecht's five levels) and perceived agency (using Rammert's causal/contingent/intentional gradations). Each mode is mapped to levels of Kaufman and Beghetto's Four-C creativity model, and the paper discusses ethical, research, and design implications, including a proposed 'epistemic surprise' metric. The paper is explicitly a conceptual contribution; it presents no empirical data and acknowledges that Symbiosis is largely theoretical.","tokens_in":17040,"tokens_out":5090,"duration_ms":55116,"significance":"If the framework holds, it offers a useful organizing vocabulary for human-AI co-creativity research, integrating two established taxonomies and generating falsifiable predictions about which relational modes affect which creativity levels. The paper is commendably grounded in prior literature, explicitly flags its speculative components, and proposes a novel operationalization of creative agency via epistemic surprise. However, the central dimensional basis of the taxonomy has an internal gap (see major comments), and the creativity-impact mapping is asserted rather than demonstrated. These issues are fixable within the manuscript's scope, making the paper a promising but not yet fully coherent conceptual contribution.","major_comments":[{"comment":"The taxonomy does not follow from the two stated dimensions. Section 4.2 explicitly states that 'a system may possess a high degree of autonomy—operating independently—yet still lack agency,' which under the paper's own definitions admits four combinations of autonomy and agency. However, Section 5 and Table 1 assign modes only to the ascending diagonal: Support (low autonomy + causal agency), Synergy (mid autonomy + contingent agency), Symbiosis (high autonomy + intentional agency). High-autonomy/low-agency systems (e.g., an autonomous generator whose outputs are routinely ignored) and low-autonomy/high-agency systems (e.g., a deterministic tool users believe is an intentional partner) are left unnamed and unanalyzed. This is an internal inconsistency between the dimensional definitions and the mode table, and it means the modes are not derived from the dimensions but are stipulated prototypes. Please either explicitly frame the modes as diagonal prototypes or extend the taxonomy to cover off-diagonal configurations.","section":"§4.2, §5, Table 1"},{"comment":"The mapping from mode to creativity level (Support→mini-c/little-c, Synergy→pro-c, Symbiosis→all levels including big-C) is asserted rather than derived or evidenced. The sections provide qualitative vignettes and claims, but no mechanism linking autonomy and agency to the Four-C levels is specified, and no empirical evidence is presented. Since the paper's central claim is that these modes 'differentially affect' creativity levels, the reader needs at least a principled argument for the mapping. Section 8's concession that creative value does not scale linearly with autonomy or agency further undermines any implicit assumption that the diagonal is a value axis. The authors should state the assumed causal mechanisms and, if these are intended as predictions, specify how each could be tested.","section":"Table 1; §5.1–5.3, §8"},{"comment":"The selection of technical autonomy and perceived agency as the two key dimensions is not justified comparatively. Other candidate dimensions—such as trust, task type, or who holds final evaluative authority—are mentioned in the surrounding literature but are not systematically compared. Because the entire taxonomy rests on these two axes, a brief argument for why these dimensions are the most decisive for creative outcomes would strengthen the framework. At minimum, the paper should acknowledge that this choice is a design decision and discuss how different choices might alter the taxonomy.","section":"§4"}],"minor_comments":[{"comment":"Section numbering is inconsistent: Section 3.2 appears twice (once for 'The evolution of human-AI creativity' and once for 'Distributed creativity'), and Section 5.4 refers to 'Section 3.4,' which does not exist.","section":"§3.2, §5.4"},{"comment":"There are typographical errors: 'has lead to' in Section 3.2 should be 'has led to'; 'Extended Creativity e systems' in Section 6.2 should be 'Extended Creativity systems.'","section":"§3.2, §6.2"},{"comment":"The reference to Kahneman (2002) for System 1 and System 2 is imprecise; the standard citation is Kahneman (2011), 'Thinking, Fast and Slow.'","section":"§3.2 references"},{"comment":"Figure 4 is not explicitly described or called out in the text beyond its caption; please add a sentence explaining what the figure illustrates and how it relates to the taxonomy.","section":"Figure 4"},{"comment":"The operational modes in Section 5.4 (coordination mechanisms, relational polarity) are listed in Table 1 but their relationship to the three relational modes is not systematically explained; a brief discussion of how they combine would improve clarity.","section":"§5.4, Table 1"},{"comment":"The epistemic-surprise metric in Section 7 is only a sketch; if it is to be a contribution, please provide at least a formal definition or reference to a specific method for computing it, or explicitly label it as a direction for future work.","section":"§7"}],"recommendation":"major_revision","confidential_remarks":"The paper is a conceptual contribution without empirical data, which is acceptable for the journal if the framework is internally coherent. The off-diagonal gap in the taxonomy is a genuine flaw but is fixable within the manuscript's scope by explicitly reframing the modes as diagonal prototypes or extending the taxonomy. I recommend major revision rather than rejection. The paper's citation and attribution practices appear appropriate; no concerns there. The fit with the journal's scope seems good."},"author_rebuttal":null,"desk_editor":{"model":"deepseek-v4-flash","letter":"Colleague,\n\nThis is a useful conceptual paper with one real structural weakness that needs fixing before it can be used as a foundation. The three-mode taxonomy (Support, Synergy, Symbiosis) is clearly presented, and the mapping to the Four-C creativity levels gives researchers a common vocabulary for describing human-AI co-creativity. The synthesis draws on Simmler-Frischknecht and Rammert in a way I haven't seen before, and the concrete vignettes (Maria the designer, Leo the writer, Sofia the composer) make the modes easy to grasp. The ethical discussion is thoughtful, and the paper is appropriately cautious about Symbiosis being speculative.\n\nThe problem is the paper's central definitional claim. Sections 4-5 say the modes are defined along two dimensions: technical autonomy and perceived agency. But Section 4.2 explicitly states that autonomy and agency are distinct and can vary independently: a system can be high-autonomy yet low-agency, and by the same logic low-autonomy/high-agency is possible (e.g., a deterministic tool users believe is intentional). The taxonomy gives names only to the ascending diagonal: low autonomy + causal agency, mid + contingent, high + intentional. So the off-diagonal combinations are not just empirically missing; the paper's own definitions allow them, and the mode table doesn't accommodate them. That means the mapping from modes to creativity outcomes (Support to mini-c/little-c, etc.) is underdetermined by the stated dimensions—it's stipulated rather than derived. Section 8's statement that creative value does not scale linearly with autonomy further undercuts treating the diagonal as a value axis.\n\nThis is a fixable issue, but it's load-bearing. The authors could reframe the modes as prototypes along the diagonal, or add off-diagonal modes and specify which dimension dominates. As written, the taxonomy is still a useful heuristic, but it doesn't fully deliver on its own dimensional promise. Minor issues: the 'Section 3.4' cross-reference is wrong, and the epistemic-surprise metric is only a sketch (the paper acknowledges this).\n\nWho it's for: HCI and creativity researchers looking for a shared vocabulary, and designers of co-creative systems. It deserves a serious referee, but I'd want the dimensional gap addressed before publication.","headline":"Useful conceptual synthesis with a real internal gap: the two dimensions named actually allow off-diagonal configurations the taxonomy doesn't cover; fixable, but central.","tokens_in":17585,"tokens_out":2616,"would_cite":false,"duration_ms":29760,"reading_group":"maybe","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 proposes that human-AI creative collaboration takes three distinct relational modes—Support, Synergy, and Symbiosis—defined by technical autonomy and perceived agency, and that each mode affects a different level of creativity.","keywords":["human-AI collaboration","generative AI","creativity","Extended Creativity","agency","autonomy","distributed cognition","Four-C model"],"falsifier":"Give two groups of creators the same generative model with identical capabilities, but present one group with a Support-style interface (fixed operations, no visible adaptation, human retains final say) and the other with a Synergy-style interface (visible responsiveness, suggestions that adapt to feedback). If the Support group produces professional-level, peer-recognized creative work as often as the Synergy group, the claim that mode determines creativity level fails. If the Synergy group shows a clear shift from everyday to professional creativity with the underlying model held constant, the perceived-agency axis is doing real work.","tokens_in":16594,"feed_emoji":"🎨","tokens_out":9548,"duration_ms":101752,"temperature":0.7,"pith_summary":"Artificial intelligence can support human creativity in more than one way, and this paper argues that the relationship itself is the unit that matters. It defines Extended Creativity systems as socio-technical settings in which humans and AI jointly shape creative processes, and classifies those settings into three relational modes: Support (AI as a tool under human control), Synergy (AI as a collaborative partner in dialogue), and Symbiosis (human and AI as a unified creative system). The modes are positioned along two dimensions—the AI's technical autonomy and the degree of agency people perceive in it—and each is predicted to affect a different band of the Four-C creativity scale, from personal insight up to paradigm-shifting innovation. If the classification holds, researchers and designers gain a common vocabulary for choosing or building systems that deliberately cultivate a target level of creativity.","feed_headline":"Three modes of human-AI creativity, from tool to merger","feed_subtitle":"Support, Synergy, and Symbiosis predict whether AI lifts everyday, professional, or paradigm-shifting creativity.","key_machinery":"The machinery is a two-dimensional taxonomy built from existing conceptual tools. Technical autonomy is graded in five levels from transparent-deterministic systems to open, co-evolving systems; agency is graded in three levels from causal effect-production to perceived intentionality; and creative outcomes are placed on the Four-C scale (mini-c, little-c, pro-c, big-C). Each of the three modes—Support, Synergy, Symbiosis—is defined by a specific band on the autonomy and agency scales, and the paper derives from that configuration which creativity levels the mode can meaningfully affect. The taxonomy also includes two orthogonal operational dimensions—coordination mechanism (hierarchical vs stigmergic) and relational polarity (cooperative vs competitive)—to cover cases where the same mode feels collaborative or adversarial.","core_discovery":"The paper's central claim is that human-AI creative relations are not one phenomenon but three qualitatively different relational modes, and that the differences can be captured along two dimensions: technical autonomy (the system's capacity to operate independently of direct human intervention) and perceived agency (the degree to which the system is experienced as an intentional, influential creative partner). In Support, autonomy is low and agency is causal only; AI executes fixed operations while the human retains full creative control. In Synergy, autonomy reaches adaptive, context-responsive levels and agency becomes contingent, with AI generating alternatives that influence the human's next move. In Symbiosis, autonomy is at the highest, self-modifying levels and agency approaches perceived intentionality, so the human-AI pair functions as a single creative unit. The paper predicts these modes map onto the Four-C levels of creativity—mini-c and little-c for Support, through pro-c for Synergy, and potentially big-C for Symbiosis—and argues that creative value does not scale linearly with autonomy.","pith_inferences":["Editorial inference: The two-axis logic suggests a direct design experiment—hold the underlying AI constant and change only the interface framing, autonomy levers, and feedback responsiveness, then measure which Four-C level users reach; if perceived agency alone shifts creative outcomes with no change in technical autonomy, the second axis carries real causal weight.","Editorial inference: Because the paper itself concedes that creative value does not scale linearly with autonomy, the mode-to-creativity mapping is likely moderated by variables the taxonomy does not include, such as trust, domain expertise, and who holds final evaluative authority; empirical work should measure those moderators explicitly.","Editorial inference: The epistemic-surprise proposal could be turned into a quantitative falsification target: compute the prediction-error reduction a collaborator experiences and test whether Support, Synergy, and Symbiosis configurations produce measurably different surprise profiles, giving the framework an operational handle beyond self-report."],"forward_implications":["If the taxonomy is right, Support systems can democratize everyday creativity by lowering technical barriers, but they will not, by themselves, push creators into professional or paradigm-shifting territory.","Synergy systems should be the practical target for raising professional creative output, since their adaptive dialogue expands a creator's imaginative space while leaving final authorship and evaluation with the human.","Genuine big-C creativity would require Symbiosis-level integration, which implies that efforts to achieve transformative AI-assisted breakthroughs must address deeply coupled human-AI integration, not just better prompts.","Ethical questions change character across modes: authorship and ownership stay clear in Support, become contested in Synergy, and turn into questions of cognitive privacy, identity, and equitable access in Symbiosis.","The paper's proposed epistemic-surprise measure offers a way to operationalize creative agency as the capacity to induce coherent, unexpected model updates in a human collaborator, independent of output quality ratings."],"supporting_citations":[{"why":"Supplies the distributed-creativity foundation: creative agency is spread across human and non-human actors, tools, and cultural contexts, motivating the relational view.","marker":"Glăveanu (2014)"},{"why":"Provides the five-level technical autonomy taxonomy, from transparent-deterministic through open co-evolving systems, that anchors the Support, Synergy, and Symbiosis classifications.","marker":"Simmler and Frischknecht (2020)"},{"why":"Supplies the graded model of agency (causal, contingent, intentional) used to describe how much influence an AI system has in each mode.","marker":"Rammert (2008)"},{"why":"Supplies the Four-C creativity scale (mini-c, little-c, pro-c, big-C) used to predict which creativity level each mode affects.","marker":"Kaufman and Beghetto (2009)"},{"why":"Supplies the enactive co-creation model of 'computer colleagues' that grounds the Synergy mode's reciprocal, dialogic interaction.","marker":"Davis et al. (2015)"},{"why":"Supplies the eight-phase methodology used to construct the conceptual framework.","marker":"Jabareen (2009)"},{"why":"Serves as the empirical motivation that human-AI collaboration performs best in open-ended, creative contexts, which the framework is designed to explain.","marker":"Vaccaro et al. (2024)"}],"fun_headline_variants":["Support, Synergy, Symbiosis: the three faces of AI creativity","AI creativity: from tool to partner to unified mind","Two dimensions, three modes: mapping human-AI creativity","How AI's autonomy and agency shape creative outcomes","Mini-c to big-C: AI's role scales with autonomy"],"cache_read_input_tokens":3200,"weakest_assumption_plain":"The framework assumes that technical autonomy and perceived agency are the two dimensions that adequately distinguish human-AI creative relationships; if trust, task type, or who holds final evaluative authority matters more, the predicted link between mode and creativity level would not hold.","fun_headline_variants_meta":{"raw":{"variants":["Support, Synergy, Symbiosis: the three faces of AI creativity","AI creativity: from tool to partner to unified mind","Two dimensions, three modes: mapping human-AI creativity","How AI's autonomy and agency shape creative outcomes","Mini-c to big-C: AI's role scales with autonomy"]},"model":"deepseek-v4-flash","effort":"low","cost_usd":0.000367,"raw_usage":{"total_tokens":1955,"prompt_tokens":912,"completion_tokens":1043,"prompt_tokens_details":{"cached_tokens":384},"prompt_cache_hit_tokens":384,"prompt_cache_miss_tokens":528,"completion_tokens_details":{"reasoning_tokens":960}},"tokens_in":528,"tokens_out":1043,"duration_ms":10857,"temperature":1.0,"reasoning_tokens":960,"cache_read_input_tokens":384,"cache_creation_input_tokens":0},"cache_creation_input_tokens":0},"created_at":"2026-08-07T04:31:04.541449+00:00","model_set":{"reader":"deepseek-v4-flash"},"falsifier":"Give two groups of creators the same generative model with identical capabilities, but present one group with a Support-style interface (fixed operations, no visible adaptation, human retains final say) and the other with a Synergy-style interface (visible responsiveness, suggestions that adapt to feedback). If the Support group produces professional-level, peer-recognized creative work as often as the Synergy group, the claim that mode determines creativity level fails. If the Synergy group shows a clear shift from everyday to professional creativity with the underlying model held constant, the perceived-agency axis is doing real work.","supporting_citations":[],"review_version":1}