After the tremendous advances of deep learning and other AI methods, more attention is
flowing into other properties of modern approaches, such as interpretability, fairness, etc …

Artificial Intelligence (AI) has emerged as a transformative force across numerous domains,
from healthcare to finance and beyond. However, as AI systems become increasingly …

In recent years, Intelligent systems and AI techniques have advanced significantly, thanks to
breakthroughs in deep learning, reinforcement learning, and related fields. These …

Artificial Intelligence (AI) is becoming the corner stone of many systems used in our daily
lives such as autonomous vehicles, healthcare systems, and unmanned aircraft systems …

Biases in Artificial Intelligence (AI) systems or their results are one important issue that
demands AI explainability. Despite the prevalence of AI applications, the general public are …

The development and adoption of artificial intelligence (AI) have brought numerous
problems and potential threats, such as information cocoons, algorithmic collusion …

The release of ChatGPT to the general public has sparked discussions about the dangers of
artificial intelligence (AI) among the public. The European Commission's draft of the AI Act …

The pervasive presence and wide-ranging variety of artificial intelligence (AI) systems
underscore the necessity for inclusivity and diversity in their design and implementation, to …

In an era where artificial intelligence (AI) increasingly intersects with every facet of human
life, the imperative for ethical AI has never been more pronounced. This paper delves into …

Purpose: Complex artificial intelligence algorithms may make it hard to understand how they
reach certain conclusions or decisions. Lack of transparency raises concerns about bias …