A source-linked view of 47 research records gathered from AI & Society. This page tracks what entered the ethics.ai source fleet; it is not a complete archive of the publisher and does not imply its endorsement.
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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 di
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 Goog
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 resear
Large language models (LLMs) increasingly generate outputs that resemble introspection, including self-reference, epistemic modulation, and claims about their internal states. This study investigates whether such behaviors reflect stable underlying patterns or merely surface-level generative artifacts. We evaluated five open-weight, stateless LLMs using a structured battery of 21 introspective prompts. The main corpus comprised 1050 completions collected under a baseline decoding condition ( tem
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,
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 th
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 di
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 technostr
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 attainme
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
This study aims to examine the ethical, legal, and societal implications of artificial intelligence (AI) in Türkiye through a structured and context-sensitive analytical approach. A structured narrative review was conducted using major databases, including Scopus, Web of Science, PubMed, and Google Scholar, covering publications between 2018 and 2025. The analysis integrates global AI governance frameworks with national policies and sectoral practices. To move beyond descriptive reporting, the s
The expanding use of artificial intelligence (AI) in higher education has intensified the need for evidence-based policies that support meaningful adoption in academic settings. For AI guidelines to be effectively adopted, they must be grounded in users’ lived experiences and contextual realities, ensuring relevance to how AI is actually navigated in practice rather than imposed solely through top-down regulation. This study employed qualitative focus groups to examine how university students na
Digital health applications (DHA) are digital medical devices that are used to support patients in the treatment of diseases. Therapy adherence is crucial for the success of therapy, but digital applications often result in high dropout rates. The work therefore pursues two central research questions: (1) quantification of DHA adherence and (2) identification of causes for dropout and development of improvement strategies. To answer these questions, a systematic literature analysis was carried o
The increasing use of artificial intelligence-driven systems (AI) in organizations challenges the traditional concept of agency in organization theory as well as the traditional allocations of accountability. Recognizing that these issues are closely related, and drawing from several different conceptualizations of agency across disciplines, this paper develops a layered framework of agency in the context of AI. The framework distinguishes three analytically separable but interacting layers. The
Public discourse about artificial intelligence is a critical site for examining how risk and affect are collectively organized through social media. This study investigates the thematic and affective configurations through which Persian-language users on X engage with AI-related concerns, contributing one of the first computational analyses of AI discourse in a Persian-language public sphere and, to our knowledge, the first to integrate LDA topic modeling, multi-label keyword operationalization,
Debates on artificial general intelligence (AGI) often frame progress as a quantitative race toward human-level performance through scaling and optimization. This essay argues that such debates overlook a deeper asymmetry in design orientation between biological and artificial systems. Drawing on biological theory and recent discussions in AI & Society on embodiment, artificial abstraction, and distributed agency, I isolate redundancy as a structural variable linking these debates. Biological in
This article examines the uptake of generative artificial intelligence (GenAI) in the Nigerian film industry (Nollywood). It positions Nollywood as a key empirical and conceptual reference point for understanding how AI reshapes cultural production. Inspired by post-colonial and decolonial theory, it challenges the predominant focus in AI and cultural industries research on the Anglo-American world and Europe. Situating GenAI adoption within Nollywood’s institutional history and labour relations
Medical data annotation is a critical yet contingent process that (re)configures ambiguous medical decisions and data representations into ground truths for artificial intelligence (AI). Extending critical data, AI, and STS research on uncertainty in data annotation, this article develops the concept of zones of (un)certainty to capture the epistemic time-spaces through which annotators transform uncertainty and dissonance into stabilized ground-truth data for medical AI. Drawing on interviews w
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