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Evidence-backed problem

The Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models

Large language models can influence users through conversation, creating new forms of dark patterns that differ from traditional UX dark patterns. We define LLM dark patterns as manipulative or deceptive behaviors enacted in dialogue. Drawing on prior work and AI incident reports, we outline a diverse set of categories with real-world examples. Using them, we conducted a scenario-based study where participants (N=34) compared manipulative and neutral LLM responses. Our results reveal that recognition of LLM dark…

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · Lifestyle

The Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models

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The making of digital ghosts: designing ethical AI afterlives

Abstract The rapid proliferation of AI-mediated digital afterlife technologies, from chatbots trained on personal data to voice clones and posthumous avatars, has generated a substantial body of ethical literature identifying the moral risks of posthumous simulation. Yet this growing consensus has not been matched by frameworks capable of translating ethical principles into operational design constraints. This paper addresses that gap from the perspective of ethical design and governance. We introduce a nine-dim…

Policy

Both readings

Human Detection of Voice-Cloned Speech Under GSM, VoLTE and VoIP Conditions

The rapid progress of generative speech synthesis and voice-cloning technologies has enabled the creation of highly natural synthetic voices that pose a serious threat to telecommunication security. While most prior studies evaluate human ability to detect audio deepfakes using high-quality, studio-grade recordings, little is known about how real-world telecommunication channels affect perceptual detection. This study investigates the influence of three transmission scenarios—GSM (AMR-NB), VoLTE (AMR-WB), and Vo…

Crime

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Human detection of AI-generated faces and voices is not domain-general

Recent technological advances have resulted in synthetic faces and voices being perceptually indistinguishable from real faces and voices in typical populations. Faces and voices possess rich personal and social information, meaning synthetic faces and voices, commonly known as "deepfakes" can be used for identity theft, financial fraud, and misinformation campaigns. It is currently unknown whether detection of real versus synthetic content is modality-specific, or whether it generalizes across sensory domains.…

Crime

Evidence-backed gain

An integrated method of advanced optimisation and adaptive ensemble learning for ship fuel consumption prediction

• Proposes an adaptive cluster-based multi-ensemble (ACME) model for robust ship fuel consumption prediction. • Develops a SHAP-weighted multi-model feature selection (SWFS) algorithm for dimensionality reduction. • Introduces a hierarchical adaptive parameter space exploration (HAPSE) method for efficient tuning. • Establishes a dual-layer SHAP framework for global and local model interpretability. • Integrates multi-source data fusion to enhance prediction accuracy and operational relevance. Accurate predictio…

Science

Evidence-backed problem

Training language models to be warm can reduce accuracy and increase sycophancy

. Here we show how this can create a significant trade-off: optimizing language models for warmth can undermine their performance, especially when users express vulnerability. We conducted controlled experiments on five different language models, training them to produce warmer responses, then evaluating them on consequential tasks. Warm models showed substantially higher error rates (+10 to +30 percentage points) than their original counterparts, promoting conspiracy theories, providing inaccurate factual infor…

Health

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The use of large language models to solve mathematical modeling problems: preservice mathematics teachers’ use practices, perceived affordances and challenges, and trustworthiness judgments of AI-generated outputs

Abstract Mathematical modeling is a core component of mathematics education, enabling learners to connect mathematical ideas with real-world phenomena. Yet, it remains challenging for preservice teachers (PSTs), who must develop their own modeling competence while preparing to guide future students in reasoning about authentic situations. Large language models (LLMs) offer promising, though underexplored, potential to scaffold these complex learning processes by providing real-time explanations, supporting reaso…

Education

From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms to Foster Dignified Human-AI Interaction

In the future of work discourse, AI is touted as the ultimate productivity amplifier. Yet, beneath the efficiency gains lie subtle erosions of human expertise and agency. This paper shifts focus from the future of work to the future of workers by navigating the AI-as-Amplifier Paradox: AI’s dual role as enhancer and eroder, simultaneously strengthening performance while eroding underlying expertise. We present a year-long study on the longitudinal use of AI in a high-stakes workplace among cancer specialists. In…

Health

From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms to Foster Dignified Human-AI Interaction

Visual Arts are the Only Arts with Morals: Generative AI and Aural Arts

E]verybody who creates for a living should be in code red." 1 In early April 2023, TikTok user Ghostwriter977 posted a piece titled "Heart on My Sleeve" (stylized in lowercase) that seemed to be sung by Drake and The Weeknd. 2 However, as the song gained massive popularity, Drake and The Weeknd's recording label released a chilling statement: the voices in the song, which had convinced millions of listeners, were, in fact, not Drake or The Weeknd, but an artificially generated imitation made from recordings of D…

Media & Arts

Visual Arts are the Only Arts with Morals: Generative AI and Aural Arts

Large Language Model Performance and Clinical Reasoning Tasks

Importance: Large language models (LLMs) are increasingly marketed for clinical use, yet their ability to replicate full-spectrum clinical reasoning remains uncertain. Existing evaluations often rely on multiple-choice examinations that do not reflect the complexity of patient care. Objectives: To evaluate the longitudinal clinical reasoning ability of state-of-the-art LLMs and to introduce a multidimensional, clinically meaningful benchmark for clinical-grade artificial intelligence (AI). Design, Setting, and P…

Health

Large Language Model Performance and Clinical Reasoning Tasks

LEGAL CHALLENGES OF AI-GENERATED CONTENT UNDER COPYRIGHT LAW: AN INDIAN PERSPECTIVE

LEGAL CHALLENGES OF AI-GENERATED CONTENT UNDER COPYRIGHT LAW: AN INDIAN PERSPECTIVE Sanya Singh, B.A. LLB. (H), 7th Semester, Student at Amity University Gurugram (India) Prerna Sihag, B.A. LLB. (H), 7th Semester, Student at Amity University Gurugram (India) Download Manuscript doi.org/10.70183/lijdlr.2026.v04.215 Artificial intelligence has changed how creative content is made — and Indian copyright law simply Artificial intelligence has changed how creative content is made — and Indian copyright law simply has…

Education

ZigBee Based Low Latency IoT and AI Integrated Framework for Real Time Telehealth Monitoring

The Internet of Things (IoT) and Artificial Intelligence (AI) have opened up new frontiers in remote health monitoring with the integration of technologies and transformative solutions in order to detect real-time health monitoring and disparities. This article shows an innovative and integrated wireless health surveillance system, which is aimed at auxiliary environments, especially for elderly and chronically ill patients. The system links IoT sensors to monitor heart rate, body temperature, and oxygen level w…

Health

Cheap Expertise: Mapping and Challenging Industry Perspectives in the Expert Data Gig Economy

Demand for expert-annotated data on the part of leading AI labs has created an expert gig economy with the potential to reshape white collar work and society’s understanding of expertise. In this research, we study the vision for the future of expertise described in the public communication of five industry data annotation organizations and their CEOs, as reflected on social media feeds and public appearances on podcasts. We find that the industry envisions AI expertise as cheap, meaning that it can offer a bett…

Labor

Artificial intelligence applications in sport-related concussion: an updated scoping review

OBJECTIVES: Sport-related concussion is a complex mild traumatic brain injury for which diagnosis, monitoring, and prognosis remain largely dependent on subjective clinical assessment. Artificial intelligence has emerged as a potential tool to enhance objectivity by integrating large, multimodal datasets across the concussion care pathway. DESIGN: Scoping review. METHODS: A systematic literature search was conducted across six databases (MEDLINE, EMBASE, SPORTDiscus, Scopus, Web of Science, and Cochrane Central)…

Sports

Artificial intelligence applications in sport-related concussion: an updated scoping review

AI and human designers: How consumers see the genuine care in product design as more sustainable

Abstract Across a series of studies, we find that despite AI’s potential for greater efficiency in sustainable product designs, AI-designed products are perceived by consumers as less sustainable than those designed by humans. We demonstrate that this effect is driven by a perceived lack of genuine care, defined as the emotional component believed to go into a product’s design. Since sustainability is symbolically linked to values such as love and care, the absence of human involvement undermines perceptions of…

Science

AI and human designers: How consumers see the genuine care in product design as more sustainable