창의적 지능 루프 인간과 AI의 책임 있는 공동 창작

📝 Abstract

This paper introduces the Creative Intelligence Loop (CIL), a novel socio-technical framework for responsible human-AI co-creation. Rooted in the ‘Workflow as Medium’ paradigm, the CIL proposes a disciplined structure for dynamic human-AI collaboration, guiding the strategic integration of diverse AI teammates who function as collaborators while the human remains the final arbiter for ethical alignment and creative integrity. The CIL was empirically demonstrated through the practice-led creation of two graphic novellas, investigating how AI could serve as an effective creative colleague within a subjective medium lacking objective metrics. The process required navigating multifaceted challenges including AI’s ‘jagged frontier’ of capabilities, sycophancy, and attention-scarce feedback environments. This prompted iterative refinement of teaming practices, yielding emergent strategies: a multi-faceted critique system integrating adversarial AI roles to counter sycophancy, and prioritizing ‘feedback-ready’ concrete artifacts to elicit essential human critique. The resulting graphic novellas analyze distinct socio-technical governance failures: ‘The Steward’ examines benevolent AI paternalism in smart cities, illustrating how algorithmic hubris can erode freedom; ‘Fork the Vote’ probes democratic legitimacy by comparing centralized AI opacity with emergent collusion in federated networks. This work contributes a self-improving framework for responsible human-AI co-creation and two graphic novellas designed to foster AI literacy and dialogue through accessible narrative analysis of AI’s societal implications.

💡 Analysis

This paper introduces the Creative Intelligence Loop (CIL), a novel socio-technical framework for responsible human-AI co-creation. Rooted in the ‘Workflow as Medium’ paradigm, the CIL proposes a disciplined structure for dynamic human-AI collaboration, guiding the strategic integration of diverse AI teammates who function as collaborators while the human remains the final arbiter for ethical alignment and creative integrity. The CIL was empirically demonstrated through the practice-led creation of two graphic novellas, investigating how AI could serve as an effective creative colleague within a subjective medium lacking objective metrics. The process required navigating multifaceted challenges including AI’s ‘jagged frontier’ of capabilities, sycophancy, and attention-scarce feedback environments. This prompted iterative refinement of teaming practices, yielding emergent strategies: a multi-faceted critique system integrating adversarial AI roles to counter sycophancy, and prioritizing ‘feedback-ready’ concrete artifacts to elicit essential human critique. The resulting graphic novellas analyze distinct socio-technical governance failures: ‘The Steward’ examines benevolent AI paternalism in smart cities, illustrating how algorithmic hubris can erode freedom; ‘Fork the Vote’ probes democratic legitimacy by comparing centralized AI opacity with emergent collusion in federated networks. This work contributes a self-improving framework for responsible human-AI co-creation and two graphic novellas designed to foster AI literacy and dialogue through accessible narrative analysis of AI’s societal implications.

📄 Content

The Workflow as Medium: A Framework for Navigating Human-AI Co-Creation Lee Ackerman Media University of Applied Sciences November 25, 2025 Abstract This paper introduces the Creative Intelligence Loop (CIL), a novel socio-technical framework for responsible human-AI co-creation. Rooted in the ’Workflow as Medium’ paradigm, the CIL proposes a disciplined structure for dynamic human-AI collaboration, guiding the strategic integration of diverse AI teammates who function as collaborators while the human remains the final arbiter for ethical alignment and creative integrity. The CIL was empirically demonstrated through the practice-led creation of two graphic novellas, investigating how AI could serve as an effective creative colleague within a subjective medium lacking objective metrics. The process required navigating multifaceted challenges including AI’s ’jagged frontier’ of capabilities [16], sycophancy [36], and attention-scarce feedback environments. This prompted iterative refinement of teaming practices, yielding emergent strategies: a multi-faceted critique system integrating adversarial AI roles to counter sycophancy, and prioritizing ’feedback-ready’ concrete artifacts to elicit essential human critique. The resulting graphic novellas analyze distinct socio-technical governance failures: The Steward ex- amines benevolent AI paternalism in smart cities, illustrating how algorithmic hubris can erode freedom; Fork the Vote probes democratic legitimacy by comparing centralized AI opacity with emergent collusion in federated networks. This work contributes a self-improving framework for responsible human-AI co-creation and two graphic novellas designed to foster AI literacy and dialogue through accessible narrative analysis of AI’s societal implications. Keywords: Human-AI Collaboration, Co-creation, Creative Intelligence Loop (CIL), Workflow as Medium, Practice-Led Research, Action Research, Generative AI, AI Ethics, Graphic Novellas, AI Literacy. 1 arXiv:2511.18182v1 [cs.CY] 22 Nov 2025 1 Introduction The rapid evolution and widespread adoption of Artificial Intelligence (AI) technologies—particularly foun- dation models such as Large Language Models (LLMs) [6]—pose unprecedented societal challenges [5]. As AI integrates into critical infrastructures, from smart cities to democratic processes, understanding its ethical, governance, and humanistic socio-technical implications becomes paramount [13]. Narratives have histor- ically shaped public understanding of intelligent machines [11], yet traditional academic discourse often struggles to translate complex socio-technical concepts into accessible and emotionally resonant forms that can cultivate the critical literacy necessary for broad public engagement [26]. To address the challenge of structuring this new form of creative work, this paper introduces the Creative Intelligence Loop (CIL), a human-AI collaborative framework grounded in the paradigm of the ’Workflow as Medium.’ This paradigm posits that the co-creative process itself is not a neutral container for production, but a dynamic medium that actively shapes the nature of the inquiry and its outcomes. The CIL proposes a disciplined structure for this dynamic collaboration, fostering a process where AI teammates function as collaborators by providing strategic input, scaffolding new skills, and even leading tactically. The human, however, retains final control over ethical alignment and creative integrity. The overarching research question guiding this work is therefore: How can a framework like the CIL guide practitioners in navigating the multifaceted challenges of co-creation to produce impactful narratives that explore AI ethics and governance? In this context, the research aimed to produce narratives defined by specific qualities: • Formal complexity – leveraging the affordances of sequential art to communicate complex ideas • Thematic rigor – grounded in current AI research and ethics scholarship • Pedagogical intent – structured to facilitate active interpretation and critical engagement • Methodological transparency – created through a traceable, reflexive process that generates trans- ferable insights This research demonstrates impact through design and process documentation; empirical validation of impact through reader reception studies represents future work. This paper presents two original graphic novellas, Fork the Vote [1] and The Steward [2], which serve not only as case studies but as the empirical ground where the CIL was applied, tested, and refined. This practice-led research approach treats creative practice itself as a mode of inquiry and knowledge genera- tion [8]. The Steward critically explores core dilemmas surrounding AI governance and human agency in 2 technologically advanced urban environments, specifically within the context of smart cities. Fork the Vote delves into the intricate dynamics of AI agents, algorithmic opacity, emergent behaviour, and agentic risks

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