Transformer architectures contribute to managing long-term dependencies for Natural Language Processing, representing one of the most recent changes in the field. These architectures are the basis of the innovative, cutting-edge Large Language Models (LLMs) that have produced a huge buzz … Continued
Applications of Generative AI (Gen AI) are expected to revolutionize a number of different areas, ranging from science & medicine to education. The potential for these seismic changes has triggered a lively debate about the potential risks of the technology, … Continued
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