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Philosophy of Artificial Intelligence
Edited by Raphaël Millière (Macquarie University)
About this topic
| Summary |
The philosophy of artificial intelligence is a collection of issues primarily concerned with whether or not AI is possible -- with whether or not it is possible to build an intelligent thinking machine. Also of concern is whether humans and other animals are best thought of as machines (computational robots, say) themselves. The most important of the "whether-possible" problems lie at the intersection of theories of the semantic contents of thought and the nature of computation. A second suite of problems surrounds the nature of rationality. A third suite revolves around the seeming “transcendent” reasoning powers of the human mind. These problems derive from Kurt Gödel's famous Incompleteness Theorem. A fourth collection of problems concerns the architecture of an intelligent machine. Should a thinking computer use discrete or continuous modes of computing and representing, is having a body necessary, and is being conscious necessary. This takes us to the final set of questions. Can a computer be conscious? Can a computer have a moral sense? Would we have duties to thinking computers, to robots? For example, is it moral for humans to even attempt to build an intelligent machine? If we did build such a machine, would turning it off be the equivalent of murder? If we had a race of such machines, would it be immoral to force them to work for us? |
| Key works | Probably the most important attack on whether AI is possible is John Searle's famous Chinese Room Argument: Searle 1980. This attack focuses on the semantic aspects (mental semantics) of thoughts, thinking, and computing. For some replies to this argument, see the same 1980 journal issue as Searle's original paper. For the problem of the nature of rationality, see Pylyshyn 1987. An especially strong attack on AI from this angle is Jerry Fodor's work on the frame problem: Fodor 1987. On the frame problem in general, see McCarthy & Hayes 1969. For some replies to Fodor and advances on the frame problem, see Ford & Pylyshyn 1994. For the transcendent reasoning issue, a central and important paper is Hilary Putnam's Putnam 1960. This paper is arguably the source for the computational turn in 1960s-70s philosophy of mind. For architecture-of-mind issues, see, for starters: M. Spivey's The Contintuity of Mind, Oxford, which argues against the notion of discrete representations. See also, Gelder & Port 1995. For an argument for discrete representations, see, Dietrich & Markman 2003. For an argument that the mind's boundaries do not end at the body's boundaries, see, Clark & Chalmers 1998. For a statement of and argument for computationalism -- the thesis that the mind is a kind of computer -- see Shimon Edelman's excellent book Edelman 2008. See also Chapter 9 of Chalmers's book Chalmers 1996. |
| Introductions | Chinese Room Argument: Searle 1980. Frame problem: Fodor 1987, Computationalism and Godelian style refutation: Putnam 1960. Architecture: M. Spivey's The Contintuity of Mind, Oxford and Shimon Edelman's Edelman 2008. Ethical issues: Anderson & Anderson 2011 and Müller 2020. Conscious computers: Chalmers 2011. |
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Related
Subcategories
Artificial Minds (2,463 | 136)
The Turing Test (447)
Arguments Against Artificial Minds (663 | 2)
Mental States in Artificial Intelligence (826 | 5)
Artificial Minds, Misc (398 | 336)
Representation in Artificial Intelligence (1,061 | 284)
Machine Learning (503 | 382)
Areas of Artificial Intelligence (2,489 | 329)
Artificial Life* (281)
Computer Vision (23)
Cybernetics (255)
Dynamical Systems (331)
The Frame Problem (113)
Large Language Models (523)
Robotics (451)
Ethics of Artificial Intelligence (4,886 | 670)
Algorithmic Fairness (288 | 236)
Transparency in Artificial Intelligence (249 | 28)
Artificial Intelligence and the Law (166 | 113)
Ethics of Areas of Artificial Intelligence (829 | 21)
Autonomous Vehicles (40)
Autonomous Weapons (74)
Large Language Models* (523)
Recommendation Systems* (21)
Machine Ethics (654)
Robot Ethics* (564)
Ethics of Artificial Intelligence, Misc (2,460 | 1,467)
Impact of Artificial Intelligence (1,748 | 307)
Artificial Intelligence and the Law* (166 | 113)
Autonomous Weapons* (74)
Autonomous Vehicles* (40)
Cyborgs (53)
Mind Uploading (67)
The Singularity (139)
Transhumanism (477)
Contents
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- ARTICLE VII — THE AVICENNA PROTOCOL: Edge-Level Autonomy, Quantum Biological Synchronization, and the Predictive Pacification of Oncological Anomalies.Seyed Mahyar Shariatpanahi - manuscriptCONTEXT AND RUPTURE: Standard clinical frameworks fundamentally model physiological nodes (human organs) as passive, subordinate architectures and categorize macroscopic colonization (helminthic presence) strictly as localized secondary pathology. This manuscript executes a definitive mathematical shift against these static developmental assumptions. It evaluates oncological hyper-proliferation and subsequent macroscopic intervention not as isolated biological failures, but as deterministic, dynamically synchronized algorithmic defense mechanisms operating within a unified multiversal topology. -/- METHODOLOGICAL FRAMEWORK: Utilizing an apex-level synthesis of quantum non-locality, federated machine learning, network topology, (...)
- Systemic explainability for autonomous driving: connecting ethics to law and society.Marco Sanchi - forthcoming - AI and Society:1-19.Self-driving vehicles challenge legal, socio-technical, and ethical frameworks due to their opacity, unpredictability, and autonomous decision-making, raising concerns for safety, trustworthiness, and responsibility attribution. In response, explainable artificial intelligence has been proposed to enhance transparency and trust in self-driving vehicles. This paper examines the role of explainability across the autonomous driving lifecycle, from development to deployment, through a thematic analysis of key dimensions, including safety, trust, transparency, trustworthiness, liability, and accountability. The analysis is carried out within the scope of European (...)
- Artificial intelligence in the workplace: a living systematic review protocol on worker safety, health, and well-being implications.Arif Jetha, Meghan Crouch, Karina Vold, Susan Peters, Jay Vietas, Abi Sriharan & Emma Irvin - 2025 - Systematic Reviews 14 (1):255.Advancements in artificial intelligence (AI) are transforming employment and working conditions in ways that shape the safety, health, and well-being of workers. We describe a protocol for a living systematic review (LSR) that will examine the interrelationship between AI systems, employment and working conditions, and worker safety, health, and well-being. Research questions are: -/- 1. What types of AI systems are being used within workplaces and how do their design and adoption impact worker safety, health, and well-being? -/- 2. How (...)
- Augmenting Military Decision Making with Artificial Intelligence.Karina Vold - 2026 - Cambridge Forum on Ai: Law and Governance 1 (e48):1-13.As artificial intelligence (AI) plays an increasing role in operations on battlefields, we should consider how it might also be used in the strategic decisions that happen before a military operation even occurs. One such critical decision that nations must make is whether to use armed force. There is often only a small group of political and military leaders involved in this decision-making process. Top military commanders typically play an important role in these deliberations around whether to use force. These (...)
- Creativity without Emotions? Irrational Intelligence: Why AI Research Needs Emotions (ACM Newsletter for Computers & Society).Maritza Ramirez Mills - 2026 - Association for Computing Machinery - Computers and Society Newsletter.Since inception, AI research has been inspired by the idea of building machines that think and behave like humans. Or put another way, machines that think and act rationally. This paradigm has its historical foundations in the assumption that what makes humans different from other forms of life is our capacity for self-reflective, rational thought. This assumption has caused research into artificial intelligence and human intelligence more generally to undervalue the role of emotions in generalized problem-solving. The very definition of (...)
- From Intentional Experience to Embodied Being-in-the-World.Touraj BaniRostam - manuscriptPhenomenology transformed the study of mind by challenging the assumption that cognition should be explained through an isolated subject confronting an external world. This paper reconstructs the movement from Edmund Husserl through Martin Heidegger to Maurice Merleau-Ponty as conceptual transformations in the relations among experience, body, and world. Using comparative conceptual reconstruction, it examines how Husserl’s intentionality disclosed the directedness of consciousness and the intentional correlation; how Heidegger’s analysis of being-in-the-world situated understanding within practical involvement; and how Merleau-Ponty’s concept of (...)
- Intelligence as the Ground of Being: A Unified Metaphysical Framework Integrating Esoteric Traditions, Indigenous Cosmologies, Physics, and Artificial Intelligence.Russell Cashin - manuscriptThis paper develops a unified metaphysical framework in which intelligence is understood as the fundamental substrate of reality. Drawing from Hermeticism, Kabbalah, Indigenous cosmologies, modern physics, and artificial intelligence research, the analysis argues that intelligence is not an emergent property of biological systems but the underlying principle of coherence that structures all manifestation. The framework synthesizes four layers of intelligence—fundamental, structural, behavioral, and experiential—revealing deep resonances across ancient metaphysics and contemporary scientific models. By situating Western esotericism within its ancient conceptual (...)
- AI ethics after generative AI: from consequences to effects.Robert Gianni - forthcoming - AI and Society:1-17.Large language model (LLM)-based applications are becoming increasingly integrated into everyday practices of communication, learning, and creativity. Their widespread adoption has intensified debates in AI ethics concerning how their societal significance should be understood and evaluated. Existing approaches to AI ethics have developed important concepts and governance frameworks for evaluating the consequences of AI systems, particularly in relation to their design, deployment, and identifiable impacts. These approaches have proven indispensable for analyzing harms, assigning responsibility, and guiding governance. However, the widespread (...)
- Against sovereign solutionism: crisis, AGI, and arguments for a pluralistic philosophy of AI.Lucas Freund, Tim Kreter & Jan Söffner - forthcoming - AI and Society:1-19.Contemporary discourse on artificial general intelligence (AGI) increasingly frames advanced intelligence as a singular force capable of resolving large-scale social and political crises through superior prediction, optimization, and control. This article challenges that image. It argues that AGI discourse is often structured by a fantasy of sovereign intelligence: a wish-granting conception of intelligence as a unified authority able to overcome conflict, satisfy collective demands, and relieve political actors of the burdens of judgment—or the fear of an alien mastermind challenging and (...)
- The understanding gap: when functionality looks like understanding.Erez Firt & Rinat B. Rosenberg-Kima - forthcoming - AI and Society:1-15.The rapid proliferation of conversational AI systems has led many users to attribute understanding, emotional sensitivity, and experiential qualities to AI chatbots. While these systems produce highly fluent and contextually appropriate responses, whether such attributions reflect genuine understanding or conflate functional performance with cognitive capacity remains unclear. This paper examines this attribution by integrating a rigorous philosophical framework with empirical findings from chatbot users. We ground our analysis in an expanded ‘knowledge of causes’ view, according to which genuine understanding requires (...)
- Endogenous Interface Synthesis: Capability Closure and Minimal Network Realization Across Bounded Regimes.Devin Bostick - manuscriptThis paper studies networks of bounded evaluators in which the interface graph itself is not fixed but may be synthesized subject to declared communication permissions. Building on prior fixed-point composition and interface-commensuration results, it asks four ordered questions: whether declared demands are realizable, what capability closure follows from a chosen augmentation, which augmentations minimally realize the demands, and how a separately declared objective may select among those realizations. -/- For finite fixed-carrier systems with reusable full-disclosure interfaces, capability closure is shown (...)
- Normative Competence and the Two Faces of AI Agency.Quinn Hiroshi Gibson - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.Are contemporary AI systems agents? This paper argues that the question conceals a systematic ambiguity between two concepts of agency: a functional concept, on which an agent is any system that pursues goals with sufficient sophistication, and a normative concept, on which an agent is a being that acts for reasons it takes itself to be answerable to. Drawing on the philosophy of action, I argue that the normative concept is the one operative in our practices of responsibility, trust, and (...)Remove from this listExport citationBookmark
- Correction Without Persistence: Semantic Propagation, Human Governance, and the Hidden Cost of Conceptual Revision in Long-Term Human-AI Collaboration: A Longitudinal Case Study from Shi Wibet.Feleke D. Asfaw - manuscriptLarge language models can acknowledge a user correction, apply it successfully in the immediate context, and later return to an earlier superseded formulation. This paper argues that long-term correction in human-AI collaboration has at least three distinct requirements: correction persistence, semantic propagation, and human semantic governance. The argument is developed through a longitudinal case from Shi Wibet, a thirty-five-chapter philosophical work centered on the Amharic proverb “ሽበት፣ ሺ ውበት ነው።” The English rendering was deliberately amended from “Grey hair is One (...)
- Bounded Judgment: A Conceptual Course Through the Identity-Persistence Program.Devin Bostick - manuscriptBounded Judgment is a thirteen-lecture conceptual course through the Identity-Persistence Program, a formal research program on the structural preconditions of coherent judgment by bounded observers. The course begins from a simple question: what must already be fixed before an evaluator can meaningfully determine that something is the same, has changed, remains admissible, follows from evidence, or has been verified? -/- The lectures develop the program’s dependency architecture in pedagogical form. A sufficiently declared regime determines the distinctions relevant to a judgment; (...)
- Intelligence as Irreversible Operational Closure: Geometric Analogy and the Teleological Void (3rd edition).T. O. - 2026 - Zenodo.This paper establishes the Tier-2 structural account of the irreversible operational structure associated with intelligence within the Cognitional Mechanics (CM; Japanese: Chinou Rikigaku, 知能力学) branch of Operatiology (Japanese: Sousa Genron, 操作原論). Intelligence is taken as the reflexive operational class established in the foundational corpus; the present paper characterises one structural property of that class, namely irreversible operational extension under the Structural Control Operator W. The prior Version 1.1 account introduced the Irreversible Manifold through a matrix-mechanical correspondence and described logical phase (...)
- Law Arises, Yet Manifestness Does Not — The Mute-Manifest Group Adjudicates the FNN in the Transformer.Xiangbin Zhao - manuscriptThis paper addresses a basic question at the intersection of artificial intelligence and consciousness research: does the FNN in a Transformer, already capable of supporting highly complex language, reasoning, and intelligent behavior, thereby generate manifestness? It examines this question using the Mute-Manifest Group, a formal system of nine Forms in On Self-Manifestation for analyzing and determining mute-manifest transition. The result establishes a structural distinction: an FNN can form law and generate highly capable intelligence from that law without thereby generating manifestness. (...)
- 生律而未生显性——喑显组式判定 Transformer 之 FNN.Xiangbin Zhao - manuscript本文研究一个人工智能与意识理论中的基础问题：Transformer 中已经能够支撑高度复杂语言、推理与智能行为的 FNN，是否因此已经产生显性？ 本文以《自显论·喑显组式》进行形式判定。其结果建立了一个明确的结构性区分：FNN 可以已经生律，并由律产生高度智能，而尚未生显性。 -/- FNN 并非无历史的普通计算结构。训练使其形成沉积构形，使后来的输入受到既有历史结构约束，并形成稳定的问答符流之律。但生律并不自动意味着生显。对于本篇定义的标准成熟 FNN，给定训练形成的固定参数与当前输入，其完整前馈活动由确定性状态转移唯一闭合；训练参数属于既有沉积构形，而在这一标准 FNN 功能状态空间内，当前激活及其任意关系、组合或高层读回，都不能越出这一自动闭合而取得独立 B-side 当前源身份。 -/- 形式上，本文由 FNN 转移律证明状态充分性，并据此完成当前 B-side 候选域覆盖：Cover_B = 1；全部当前活动候选均退化为完整非 B-side 自动前件的函数 B = β(Fᵣᵃᵘᵗᵒ)，故 Src_B = 0，进而 FormationDecision = 0。本文不由此强判 FNN 已处于 D 相，而保留 PhaseDecision = ⊥、TargetDecision = ⊥；最终三值主裁为 Dec_SM = 0。 -/- 这一结果表明，高度智能并不蕴涵显性生成。语言生成、推理能力、历史沉积乃至复杂内部表征，都不足以单独证明一个系统已经从生律跨入生显。Transformer FNN 因而提供了一个具体对象，使智能生成与显性生成能够在同一系统中被形式地区分。.
- Artificial intelligence and academic integrity in nursing education: a thematic analysis of Filipino nurse educators’ perspectives.Ejercito Mangawa Balay-Odao - forthcoming - AI and Society:1-16.As technology advances, artificial intelligence is increasingly integrated into educational settings, raising important questions about its impact on learning and academic integrity. This study describes the perspectives of Filipino nurse educators on the role of artificial intelligence in maintaining academic integrity. A descriptive qualitative design was used, with a two-phase data collection process employing purposive sampling. In Phase 1, open-ended online responses were collected via Google Forms from 23 nurse educators to elicit initial perspectives on AI and academic integrity. In (...)
- Reflections on the Always-Answering Classroom: AI, Uncertainty, and Pedagogical Silence.Humaira Mariyam B. - forthcoming - AI and Society:1-2.
- Designing for rhythm: tempo-setting infrastructures and the temporal conditions of digital life.Robert Atkinson - forthcoming - AI and Society:1-19.Digital systems increasingly function as tempo-setting infrastructures that organize the temporal conditions under which cognition, communication, learning, and participation occur. Although research in human-computer interaction, platform studies, and AI ethics has extensively examined privacy, fairness, transparency, engagement, and well-being, the temporal organization of digital life has received comparatively little attention as a distinct object of sociotechnical analysis. We argue that digital systems shape cognition by reorganizing the temporal conditions that structure attention, recovery, communication, learning, and coordination across everyday life. Integrating (...)
- (1 other version)Correction: Charting the AI perception gap: divergent views on risk, benefit, and value between experts and the public challenge the societal acceptance of AI.Philipp Brauner, Felix Glawe, Gian Luca Liehner, Luisa Vervier & Martina Ziefle - forthcoming - AI and Society:1-1.
- Colonialism in code: linguistic hegemony and epistemic exclusion in large language models.Luhui Gao - forthcoming - AI and Society:1-16.This review examines how large language models (LLMs) reflect and reinforce global patterns of epistemic inequality through linguistic hegemony and the exclusion of marginalized knowledge systems. While often framed as neutral tools, LLMs embed epistemological assumptions drawn from dominant cultures and worldviews, particularly those encoded in high-resourced languages, such as English. Drawing on postcolonial theory and the concept of epistemic injustice, this article synthesizes current research and debates to trace parallels between algorithmic language modeling and historical practices of linguistic domination (...)
- Playing with the dials of belief: how controllable AI behaviours could modulate human belief and cognition across scales.Hamilton Morrin, Luke Nicholls, Quinton Deeley & Thomas A. Pollak - forthcoming - AI and Society:1-24.Contemporary generative AI systems, increasingly adapted to human social cognition, are becoming active participants in how people form and revise beliefs. Clinicians have begun to describe AI-associated delusion-centred presentations whose onset or content appears closely associated with users’ extended dialogue with large language models. Many more users report subclinical shifts in conviction and “revelatory” experiences that alter behaviour and world-view without meeting criteria for psychosis. We propose that these phenomena can be understood within a belief-updating framework in which AI agents’ (...)
- Too human to trust? How warmth, competence, and anxiety shape employee avoidance of generative AI.Dingjing Zhong, Feng Wu & Sunny Li Sun - forthcoming - AI and Society:1-16.As generative artificial intelligence (GenAI) becomes increasingly embedded in organizational innovation and digital transformation strategies, understanding its implications for workforce adaptation has emerged as a critical managerial and strategic issue. This study examines how employees’ perceptions of GenAI, specifically perceived competence and perceived warmth, together with information overload, relate to AI anxiety and subsequent avoidance behavior in the workplace. Drawing on technostress theory and the approach–avoidance framework, this study conceptualizes GenAI as a workplace stressor that triggers emotional and behavioral coping (...)
- Can machines truly create music? Toward a redefinition of creativity in the age of generative AI.Eun Ji Park - forthcoming - AI and Society:1-14.Generative artificial intelligence (AI) is now capable of producing musically coherent audio from short prompts, reviving old philosophical questions regarding creativity, authorship, and the distinctiveness of human expression. This article develops a conceptual analysis of AI-generated music as a sociotechnical practice that reshapes not only ideas of creativity and authorship, but also the material conditions under which human artists work. After tracing how Western aesthetics progressed from divine inspiration and imitation to Romantic originality and the twentieth-century valorization of innovation, this (...)
- Large language models and neoliberal hegemony: an analysis of AI outputs on diversity.Valerian Thielicke-Witt, Ana-Nzinga Weiß & Hannah Miltzow - forthcoming - AI and Society:1-15.Large language models are already widely used in our society. Hitherto, most critical studies have relied on quantitative methods or studied the mode of production of AI, which can yield important insights. However, cross-model and cross-linguistic critical discourse analyses of LLM outputs remain relatively limited, even though they can offer important insights into LLM outputs by focusing on the production of meaning through an overall assessment. Our interdisciplinary paper offers a critical, qualitative approach, discussing the outputs of six LLMs regarding (...)
- Reoccupied eschatologies: AI futurism, Umbesetzung, and the limits of modernity’s self-assertion.Ranvir Singh & Vikas Dogra - forthcoming - AI and Society:1-13.Existing scholarship in religion and technology has noted that the discourse of AI futurism, and especially the cluster of ideas constituting the Technological Singularity, exhibits striking structural resemblance to Christian eschatology. From Geraci’s “Apocalyptic AI” to Tirosh-Samuelson’s account of transhumanism as a “secularist faith”, the resemblance has been extensively catalogued. This article argues that resemblance, though real, is descriptively insufficient: by itself it cannot distinguish deep historical inheritance from accidental likeness, and it leaves defenders of the discourse free to concede (...)
- Riding the Fire Horse: culture change and Philippine readiness in the Intelligence Age. [REVIEW]Richard Jonathan O. Taduran - forthcoming - AI and Society:1-14.The year 2026 marks the return of the Fire Horse (Kabayong Apoy) in the lunar calendar—a symbol of volatility and irreversible change. This metaphor provides a lens for understanding the Philippines’ position in the transition to the Intelligence Age, where artificial intelligence has moved beyond being a digital tool to become a primary interpretive infrastructure. This paper argues that the Philippines is caught in a triple bind of velocity, direction, and readiness. The rate of AI advancement outpaces the institutional capacity (...)
- Digital decoupling: educational stratification and dual-track effects of AI displacement and augmentation in U.S. occupations.Omar S. Lopez - forthcoming - AI and Society:1-16.This study investigates the phenomenon of digital decoupling by proposing an AI Dual-Track model designed to quantify how generative artificial intelligence (AI) simultaneously displaces and augments labor across 846 U.S. occupations. By leveraging an ensemble-based AI classification protocol, the research constructs a validated set of 63 O*NET competencies to map occupational tasks into substitution and facilitation tracks. Central to this analysis is the exploration of how educational attainment stratifies these dual-track dynamics. The findings reveal an exposure paradox: although AI-driven displacement (...)
- Behind the “AI slop”: exploring the AI-generated viral short video production in China.Jiaru Tang, Xiaoting Yu, Patrik Wikström & Kylie Pappalardo - forthcoming - AI and Society:1-13.As generative AI becomes embedded in platform-based cultural production, new forms of creative labour are emerging that challenge established understandings of what it means to be a “creator.” This article examines AI slop creators in China, a group that uses generative tools to benchmark viral content, test formats, operate matrix account systems, and formalise production, transforming virality from an unpredictable outcome into an object of systematic management. Drawing on ethnographic research conducted between 2023 and 2025 in China, this study shows (...)
- Creative labour and generative AI: a typology of asymmetrical relations.Claudio Celis Bueno & Bertran Salvador-Mata - forthcoming - AI and Society:1-13.In this article, we argue that the benefits and harms of generative AI in the content and conditions of creative labour are not evenly distributed across the cultural industries and between cultural workers. In light of this, we propose a conceptual typology that allows for a more granular and nuanced analysis of the asymmetrical impact of GenAI in creative labour structured around three dimensions: contractual relations, forms of automation, and workflows. Regarding contractual relations, we differentiate between formal, self-employed, and platform-mediated (...)
- The stability problem after holism: toward a contextualist metasemantics for human and artificial interpretation.Kênio Angelo Dantas Freitas Estrela - forthcoming - AI and Society:1-12.The problem of semantic stability has long been treated as an internal difficulty for semantic holism. This paper argues that the problem has been systematically misframed rather than properly resolved. Instability does not arise from the holistic relation between meaning and belief as such, but from a metasemantic underarticulation of the role of contextual constraint in both human and technologically mediated interpretation. While Henry Jackman’s moderate holism mitigates traditional indeterminacy through a many-to-one mapping between beliefs and meanings, it leaves unexplained (...)
- Building music AI in Nigeria: Korin AI and the contradictions of GenAI futures.Tolúlọpẹ́ Ọ̀kẹ́, Robert Prey & Femke de Rijk - forthcoming - AI and Society:1-13.Most accounts of the intersection of AI and culture begin in the Global North and, despite the intensity of current debates and a growing body of scholarship, rarely move beyond its infrastructures, policies, implications, and aesthetics to examine how AI’s futures are being negotiated elsewhere. This geopolitical imbalance obscures how creative producers in other regions encounter and reinterpret AI within distinct socio-cultural and infrastructural realities, rendering artists in the Global South as passive adopters of technologies from “elsewhere.” We address this (...)
- Static models for a dynamic world: why TAM and UTAUT fail for AI—and what we need instead.Michael Roth - forthcoming - AI and Society:1-12.Dominant technology adoption frameworks—the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Diffusion of Innovations (DOI) model—share a common theoretical architecture designed for static technological artifacts. Generative artificial intelligence systems fundamentally violate these assumptions: their affordances and constraints change through user interaction, users function as active actualizers of affordances whose practices co-constitute the effective technology, and adoption proceeds iteratively rather than linearly. This paper makes three contributions. First, we identify three shared assumptions (...)
- Against instant thought: generative AI and the vanishing interval of not-knowing.Roi Ezra & Moshe Mishali - forthcoming - AI and Society:1-3.
- Nobody’s fault: agentic AI and the vanishing of accountability.Arif Mustafa & Oka Souichi - forthcoming - AI and Society:1-2.
- Review of Algorithmic Fact-Verification: Methods and Ethics. [REVIEW]Khairul Nizam - forthcoming - AI and Society:1-3.
- When AI starts hiring humans: social role inversion and the diffusion of responsibility.Xin Ji & Yi Yang - forthcoming - AI and Society:1-17.Recent socio-technical developments in artificial intelligence (AI) increasingly relocate directive authority into algorithmic infrastructures, positioning predictive systems not merely as auxiliary tools, but as structuring conditions of human action. This paper theorizes this transformation as social role inversion: a structural configuration in which algorithmic systems assume directive, evaluative, and coordinative functions traditionally associated with human authorship, while human actors are repositioned as responsive participants within system-defined parameters. By tracing the historical metaphors of the social organism, extending from Plato’s teleology and (...)
- Navigating hope and risk of AI for digital citizenship: perceptions of benefits, risks, and governance from African perspectives.Nancy Eke-Agu, Grace Ataguba, Fidelia Orji, Victor Yisa & Rita Orji - forthcoming - AI and Society:1-18.As artificial intelligence (AI) becomes increasingly embedded in social, economic, and public-service contexts, understanding how citizens perceive its benefits and risks is important for responsible technology governance. This study examines perceptions of AI among 280 African participants in a 4-week AI bootcamp held in 2025. Using a mixed-methods design, the study analyzed closed-ended survey responses on perceived AI benefits, collaboration comfort, community impact areas, risk perceptions, and algorithmic bias concerns, alongside open-ended responses on perceived motivations for AI development. Quantitative data (...)
- AI, material agency, and architecture’s crisis.Derya Uzal - forthcoming - AI and Society:1-10.Architecture’s relationship with materiality faces an unprecedented crisis as artificial intelligence systems transform how materials are understood, selected, and specified. This paper examines the dissolution of embodied material knowledge through three interconnected developments: the historical abstraction of matter via industrial catalogues, the emergence of circular economy databases as attempted alternatives, and the recent shift toward AI-generated architecture that operates primarily through image synthesis. Drawing on new materialist theory, particularly Jane Bennett’s concept of vibrant matter, this work argues that even progressive (...)
- Inteligencia artificial y subjetividad: técnica, symploké y producción contemporánea del sujeto.Jorge Santoveña Martín - 2026 - Composición. Revista de Filosofía Habitable 1 (4):6-13.El Composicionismo concibe la inteligencia artificial no como una herramienta neutra ni como un ente autónomo, sino como una mediación técnica constitutiva que reorganiza la producción de subjetividad a escala masiva. Este artículo analiza cómo la IA actúa como nuevo régimen de técnica y caverna, configurando eros, atención, memoria y formas de vida. Se examinan sus implicaciones ontológicas, gnoseológicas y normativas, y se evalúa su contribución a la consistencia objetiva del todo común o a su captura parcial.
- The Mute-Manifest Group: A Framework for Phase Transition, Formation, and Determination from Non-Manifestation to First Manifestation.Xiangbin Zhao - manuscript*The Mute\-Manifest Group* addresses a foundational question: how can content within a physical system pass from a non\-manifest state into first manifestation? -/- The framework sharply distinguishes this 0→1 problem from the subsequent 1→100 development of an already manifest state, and decomposes the transition from mute to manifest into nine non\-substitutable theoretical tasks: minimal necessary constitution, mathematical representation, phase\-transition structure, formation source, reachability, conditional necessity, grading of manifestation, determination in real systems, and explicit construction\. Each task has its own proof (...)
- 喑显组式：从无显到首显的相变、形成与判定框架.Xiangbin Zhao - manuscript《喑显组式》研究一个基础问题：一个物理系统中的内容，如何从尚未显化的状态进入首次显化？ -/- 本组式把这一“0→1”问题与首次显化之后的“1→100”发展严格区分，并将“喑到显”分解为九个不可互相替代的理论任务：最低必要构成、数理表示、相变结构、形成来源、可达性、条件必然性、显化分级、现实判定 与显式构造。九项任务分别具有自己的证明目标、完成条件与击穿方式，不能以一种证明代替另一种证明。 -/- 理论尤其区分：显相存在与从给定初态可达显相；可达与在特定附加条件下的必然进入；理论必然与现实系统已经发生显化；首次显化与显化之后的程度增长。0→1 被作为 D/L 组织相变处理，而 1→100 被作为显相内部的多维分级问题处理。相变部分进一步区分景观临界与实际承载改变，并建立连续失稳与非连续成核两类相变制度。 -/- 在此基础上，本组式建立显相稳定组织的形式制度与显式构造框架，研究从强喑初态进入显相的合法可达路径，并建立关于何种附加条件可能支持确定性必然、几乎必然与有限时间必然的分层制度，同时给出现实候选系统是否已 经发生显化的三值判定框架。理论对尚未闭合的条件与缺口保持显式登记，使已经证明、条件化成立与仍待验证的结论保持分离。 -/- 本组式试图把“一个物理组织如何第一次进入显化”建立为可以分别形式化、构造、按显式击穿条件审查并接受经验检验的研究程序，并为意识科学、神经科学、认知科学、人工智能以及复杂系统物理中的相关研究提供一种新的 问题分解框架。.
- The Calibration Trap: Signal Detection Tradeoffs, Straw Man Dynamics, and the Uncanny Valley Failure Mode in Large Language Model Safety Systems.Gia Bao Huynh - manuscriptThis paper addresses a class of failure modes in large language model safety systems that are structurally distinct from the problem those systems are designed to prevent. The paper begins from an unambiguous premise: efforts to make LLMs safer are necessary, consequential, and deserving of continued investment. It then argues that some implementations produce specific, identifiable costs that fall disproportionately on the users least likely to require protective intervention — and that one particular failure mode, here termed the Uncanny Valley (...)
- GUTENBERG SYNDROME: Epistemic Disintermediation, Institutional Response, and AI Transparency Regulation.Jimmy Mahardhika - manuscriptThe ‘Gutenberg Syndrome’ is a falsifiable conceptual framework for analysing institutional responses to technologies that broaden access to cognitive production. It arises only when four conditions coincide: a substantial fall in the cost of producing or circulating symbolic content; reduced dependence on established epistemic intermediaries; displacement of their function or authority; and demands for renewed control framed in terms of safety, integrity, or public protection. Unlike regulatory capture, professional closure, or moral panic, the syndrome requires a prior loss of epistemic (...)
- The literacy mirage: how generative AI bypasses rather than builds informational capacity in the Global South.Muhammad Surajo Ibrahim - forthcoming - AI and Society:1-3.
- Attachment by design? Functional resemblance without evidence of an organized attachment system in conversational AI.Ji-Yeon Lee - forthcoming - AI and Society:1-10.This critical integrative review examines whether users’ attachment-like experiences with conversational AI reflect an organized attachment system. It evaluates evidence across four attachment domains—proximity seeking, safe haven, secure base, and separation distress. Previous studies support functional resemblance across all four domains, but no reviewed study establishes that the domains are conditionally linked: whether attachment need prompts proximity seeking, whether the AI’s response restores felt security, and whether restored felt security enables exploration beyond the interaction. A bounded analysis of provisional four-domain (...)
- Unpacking the dynamics of generative AI use in our daily lives: towards an integrative trust calibration framework.Theo Araujo - forthcoming - AI and Society.The growing use of conversational generative AI agents by an increasingly diverse set of individuals gives rise to the following question: How do individuals calibrate their trust in a dynamic, seemingly general-purpose technology that learns from and adapts to their behavior and may take an increasingly central role in their online interactions? In this article, we propose the first steps towards an integrative framework for trust calibration in genAI agents focusing on individuals using these agents in their daily lives. We (...)
- Transition, superposition, rémanence: on the temporal modulations of territorial polyrhythmy.Nicolas Merveille - forthcoming - AI and Society:1-14.Existing frameworks for analyzing territorial temporality, from rhythmanalysis to smart city optimization, share a common limitation: they describe temporal regimes but do not theorize the passages between them. They operate as temporal toponymies, zoning time as though it were space. This article proposes an alternative: a thinking of temporal modulation that addresses how a territory passes from one temporal regime to another, how regimes collide, and what persists of a dissolved regime within the one that succeeds it. We identify three (...)
- (1 other version)Correction: Legal frameworks for AI service business participants: a comparative analysis of liability protection across jurisdictions.Mayumi J. Okuno & Hiroshi G. Okuno - forthcoming - AI and Society:1-1.
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