large language models

Artificial Intelligence and LGBTQI+phobia: Algorithms of Exclusion or Tools of Inclusion?

The mapped literature suggests that future policies should promote transparent, auditable, and participatory AI governance, support multilingual and culturally inclusive datasets, and integrate content moderation into broader digital public health and anti-discrimination strategies.

Generative AI-Powered Pedagogical Agents in Immersive Environments for Social Sciences and Humanities Education: A Scoping Review

Title: Generative AI-Powered Pedagogical Agents in Immersive Environments for Social Sciences and Humanities Education: A Scoping Review Purpose This research project investigates how generative artificial intelligence (GenAI)-powered pedagogical agents and virtual instructors are being used within immersive virtual re...

Try to See Things from My Point of View

Advances in the performance of large language models (LLMs) have led some researchers to propose the emergence of theory of mind (ToM) in artificial intelligence (AI). LLMs can attribute beliefs, desires, intentions, and emotions. But, rather than employing the characteristically human method of empathy, they learn to...

Models Match or Surpass Objective Human Performance on Various Tasks

Artificial Intelligence systems increasingly match or surpass human performance across a wide range of cognitive tasks. Recent advances in large language models have yielded conversational abilities often indistinguishable from human dialogue. In this chapter, we argue that whether artificial agents should be considere...

AI and Empathy at a Crossroads

In 2023, the arrival of Chat GPT 3o heralded many viral conversations about what it means to interact with artificial intelligence (e.g., Roose, 2023). People read about individuals having extended conversations with chatbots, often leading to complex consequences that raise deeper questions. What do we mean by “empath...

Does It Take Two to Empathize?

Most definitions of empathy stress its interpersonal nature: Empathy requires a human sender and a human receiver, where all parties involved have the theoretical capacity to accurately understand each other’s minds. Because empathy is inherently interpersonal, some scholars have questioned whether empathy between huma...

Blockchain-Enabled Artificial Intelligence and AI Agents for Secure Data Sharing and Cybersecurity Applications

This paper presents a meta-synthesis that draws together four constituent studies covering adversarial machine learning, AI-powered anomaly detection in cloud environments, automated vulnerability patching by multi-agent large language model (LLM) pipelines, and the broader landscape of securing AI systems across their...

On-device large language model-powered intelligent copilot for on-site construction tutorials

Bilateral Kernel Regularization for Few-Shot Adaptation of Large Vision-Language Models

Multi-LLM Prototype: Open-source software for adaptive orchestration, conflict resolution, and cost-aware routing across heterogeneous large language models

Semantic metadata extraction from crop model components with large language models to facilitate platform interoperability

Large Vision Language Models With Object Structure Alignment for Image Matching