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232 papers
A categorization of research tasks by perceived necessity and a boilerplate template capturing expected details is suggested, suggesting a categorization of research tasks by perceived necessity and a boilerplate template capturing expected details.
The Actionable Policy schema is presented, a YAML-based format for specifying what model responses can and cannot contain that enables exception-based policy governance, and a set of tools to help define the schema and enforce policy.
A Semantic Integrity Risk Score is proposed: a learned, generator-agnostic measure of the degree to which a record violates the functional and logical dependencies mined from trusted data, which is positioned as a practical, proactive complement to statistical monitoring rather than a replacement for it.
The results indicate the necessity of an epistemic filter in the DIKW pyramid, filtering information from its disorders (misinformation, noise, unverified or low-quality outputs) before it can be allowed to enter knowledge.
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AI-generated personas are being increasingly used for support, training and simulations. While generative AI models possess abilities to generate affect-aware responses, their embodiment into visual personas is an active area of investigation. Naturalistic exchanges require understanding of the conversational partners'turn completions, whether the agent should respond or keep listening and rely on non-verbal cues aligned with one's emotional states. Seamless human-AI conversation in a multimodal setting requires all modalities being generated to act in coordination. We present AffAdapt, a seamless interaction design framework for AI-personas, which coordinates streaming speech recognition, proactive turn-management, persona-grounded response generation, a persistent emotional state, and synchronized embodied output into a single interaction loop. We demonstrate the architecture in the context of practicing sensitive, high-stakes conversations, and report an initial case study showing fluid turn management and adaptive, persona-consistent behavior, alongside open challenges in interruption handling, open-ended dialogue, and multimodal affective alignment. AffAdapt's interaction loop is a generalizable pattern for coordinating timing, identity, and affect in real-time AI personas - applicable to training, coaching, education, and simulation contexts wherever believable, responsive interaction matters.
The Historical Grounding Ratio (HGR) is introduced, defined as the proportion of claim-bearing information units in a generated narrative that are supported by historical archives that are supported by historical archives, and offers an operational measure for comparing information-allocation strategies and their experiential consequences.
A comprehensive trading framework that incorporates state-of-the-art methodologies and algorithms to simulate the entire AI image trading process and supports multiple trading mechanisms, including Blind English Sealed-Bid Auctions (BESEA), fixed-price auctions with a first-come, first-served (FCFS) model, Dutch auctions with royalty redistribution, and fractionalized auction trading.
The study contributes to information systems research by reframing AI readiness from a static resource inventory to an evolving organisational capability and offers managers a diagnostic logic for sequencing AI investments and avoiding premature scaling.
It is argued that AI-driven “style replication” is fundamentally a negotiation of social relations, one that recentres platform power and reorganises the conditions of human-AI collaboration.
These findings show that reliable evaluation of LLM-generated code requires validated ground truth, protected tests, and multiple explicitly interpreted measures, and that CodeAssay provides a reproducible basis for evidence-based model evaluation in AI-augmented software development.
While ChatGPT was primarily viewed as an efficient tool in a work context, the quantitative survey reveals a weakly significant correlation between psychological stress and openness toward the social-emotional use of chatbots.
Earth AI
Piloting the world's first double-blind AI evaluations
The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.
Generative AI
Google DeepMind partners with game studios to prototype breakthrough AI gameplay.
