Important decisions that impact humans lives, livelihoods, and the natural environment are
increasingly being automated. Delegating tasks to so-called automated decision-making …

There is growing concern that decision-making informed by machine learning (ML)
algorithms may unfairly discriminate based on personal demographic attributes, such as …

Organisations increasingly use automated decision-making systems (ADMS) to inform
decisions that affect humans and their environment. While the use of ADMS can improve the …

Organisations that design and deploy artificial intelligence (AI) systems increasingly commit
themselves to high-level, ethical principles. However, there still exists a gap between …

Unintended biases in machine learning (ML) models have the potential to introduce undue
discrimination and exacerbate social inequalities. The research community has proposed …

In an ever-evolving digital world, where cybersecurity threats are becoming increasingly
sophisticated, agility in cybersecurity risk management (CSRM) has become crucial. This …

Explainable artificial intelligence (XAI) focuses on transparent AI models and decisions,
which are easy to understand, analyze, and augment by a nontechnical audience. Fuzzy …

El objetivo de este libro es contribuir al desarrollo de una filosofía de nuestro tiempo para
nuestro tiempo. La revolución digital acaba de empezar y tiene una magnitud que aún es …

This study examines the mediating effect of risk management practices on the relationship
between understanding risk and management, risk identification, risk assessment analysis …

Algorithms are becoming more widely used in business, and businesses are becoming
increasingly concerned that their algorithms will cause significant reputational or financial …