This paper explores the environmental impact of the super-linear growth trends for AI from a
holistic perspective, spanning Data, Algorithms, and System Hardware. We characterize the …

There is great interest in how the growth of artificial intelligence and machine learning may
affect global GHG emissions. However, such emissions impacts remain uncertain, owing in …

Abstract Trustworthy Artificial Intelligence (AI) is based on seven technical requirements
sustained over three main pillars that should be met throughout the system's entire life cycle …

In higher education, low teacher-student ratios can make it difficult for students to receive
immediate and interactive help. Chatbots, increasingly used in various scenarios such as …

The emergence of artificial intelligence (AI) as a subject to be incorporated into K-12
educational levels places new demand on relevant stakeholders, especially teachers that …

The extant literature has outlined the significance of collaborative intelligence stemming
from effective partnership between artificial intelligence (AI) systems and human workers to …

AI models are increasingly applied in high-stakes domains like health and conservation.
Data quality carries an elevated significance in high-stakes AI due to its heightened …

The study seeks to understand how the AI ecosystem might be implicated in a form of
knowledge production which reifies particular kinds of epistemologies over others. Using …

This paper explores the important role of critical science, and in particular of post-colonial
and decolonial theories, in understanding and sha** the ongoing advances in artificial …

The rapid development of Artificial Intelligence (AI) technology has enabled the deployment
of various systems based on it. However, many current AI systems are found vulnerable to …