This paper endeavors to appraise scholarly works from the 1940s to the contemporary era,
examining the scientific quest to transpose human cognition and consciousness into a …

In recent years, black-box machine learning approaches have become a dominant modeling
paradigm for knowledge extraction in Remote Sensing. Despite the potential benefits of …

The objective of this paper is to break down the widely presumed dichotomy, especially in
law, between fully automated decisions and human decisions from a psychological and …

The past year has seen a steep rise in generative AI systems that claim to be open. But how
open are they really? The question of what counts as open source in generative AI is poised …

The AI Act represents a significant legislative effort by the European Union to govern the use
of AI systems according to different risk-related classes, imposing different degrees of …

Organizations including companies, nonprofits, governments, and academic institutions are
increasingly developing, deploying, and utilizing artificial intelligence (AI) tools. Responsible …

The field of healthcare is in a state of constant evolution, driven by the incorporation of novel
digital technologies. Computer vision (CV) and artificial intelligence (AI) are emerging as key …

In recent years, black-box machine learning approaches have become a dominant modeling
paradigm for knowledge extraction in remote sensing. Despite the potential benefits of …

Objective: To determine the cost-effectiveness of a new telemedicine optometric-based
screening program of diabetic retinopathy (DR) compared with traditional models' …

Artificial intelligence (AI) is increasingly used in an ever larger number of industries.
Alongside this development, however, abundant works argue that AI-driven systems are …