There have been recent calls for new ethics guidelines regarding the use of artificial intelligence in research. How should we go about developing such ethics guidance documents with respect to emerging contexts such as new technologies, and established domains such … Continued
The generative AI boom is unleashing its minions. Enterprise software vendors have rolled out legions of automated assistants that use large language model (LLM) technology, such as ChatGPT, to offer users helpful suggestions or to execute simple tasks. These so-called … Continued
With the rise and public accessibility of AI-enabled decision-support systems, individuals outsource increasingly more of their decisions, even those that carry ethical dimensions. Considering this trend, scholars have highlighted that uncritical deference to these systems would be problematic and consequently … Continued
Compared to its technological counterparts, society as a whole will increasingly adopt a passive role in ethical decision-making processes, blindly following technologies’ instructions that are delivered on a plate. This entails a form of regression, “which is a version of … Continued
Is autonomy – governing yourself – compatible with letting yourself be governed by trust? This paper argues that autonomy is not only compatible with appropriate trust but actually requires it. Autonomy requires appropriate trust because it is undermined by inappropriate … Continued
Artificial intelligence (AI) and multimodal data (MMD) are gaining popularity in education for their ability to monitor and support complex teaching and learning processes. This line of research and practice was recently named Multimodal Learning Analytics (MMLA). However, MMLA raise … Continued
Models such as ICAP (Interactive, Constructive, Active, and Passive) hypothesize that effects of technology-enhanced learning (TEL) are mediated by the learning activity that is facilitated by technology. In this systematic review of meta-analyses and second-order meta-analysis, we examined effects of … Continued
Recent successes in Generative Artificial Intelligence (GenAI) have led to new technologies capable of generating high-quality code, natural language, and images. The next step is to integrate GenAI technology into products, a task typically conducted by software developers. Such product … Continued
Large Language Models (LLMs) are already as persuasive as humans. However, we know very little about how they do it. This paper investigates the persuasion strategies of LLMs, comparing them with human-generated arguments. Using a dataset of 1,251 participants in … Continued
Recent generative AI systems have demonstrated more advanced persuasive capabilities and are increasingly permeating areas of life where they can influence decision-making. Generative AI presents a new risk profile of persuasion due the opportunity for reciprocal exchange and prolonged interactions. … Continued