One aspect of a responsible application of Artificial Intelligence (AI) is ensuring that the operation and outputs of an AI system are understandable for non-technical users, who need to consider its recommendations in their decision making. The importance of explainable AI (XAI) is widely acknowledged; …

Due to climate change, rising temperatures lead to more extreme heat stress in urban areas. Last summer, there were poignant images of people looking for shade in cities. Trees are effective measures to provide shade and decrease the perceived temperature. However, trees cannot grow in healthy conditions …

Abstract: academia is still struggling with its concrete role with respect to the Knowledge Ecosystem, in particular in view of its obligation to create and share generalised knowledge (as opposed to specialised 'practice-aligned' knowledge) and the necessity of publishing in peer reviewed academic journals …

This exploratory study investigates the rationale behind categorizing algorithmic controls, or algorithmic affordances, in the graphical user interfaces (GUIs) of recommender systems. Seven professionals from industry and academia took part in an open card sorting activity to analyze 45 cards with examples …

Vietnamese farmed pangasius products have experienced major price fluctuations over numerous crop cycles exposing this important export commodity to risk and uncertainty. This study focuses on two distinct areas of risk. First, this study seeks to measures the farm-gate price volatility, explores farmers’ …

Artificial Intelligence (AI) is increasingly shaping the way we work, live, and interact, leading to significant developments across various sectors of industry, including media, finance, business services, retail and education. In recent years, numerous high-level principles and guidelines for ‘responsible’ …

Social complexities have increased in the aftermath of global phenomena such as the migrant crisis, intensifying socio-economic inequities, racial discrimination, and backlash against the universal rights of minority groups. These are challenging how designers respond to social issues. Human-centred …

Post-training quantization reduces the computational demand of Large Language Models (LLMs) but can weaken some of their capabilities. Since LLM abilities emerge with scale, smaller LLMs are more sensitive to quantization. In this paper, we explore how quantization affects smaller LLMs’ ability to perform …

Community Engaged Scholarship (CES) aims to develop mutually beneficial relationships between educational and research institutions and communities. In this project, we understand CES as a commitment to engaging in projects which acknowledge power imbalances and give space to discuss aspects of diversity, …

Currently, various higher education (HE) institutes develop flexible curricula for various reasons, including promoting accessibility of HE, the societal need for more self-regulated professionals who engage in life-long learning, and the desire to increase motivation of students. Increasing flexibility …