The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …

Surface‐enhanced Raman spectroscopy (SERS), well acknowledged as a fingerprinting
and sensitive analytical technique, has exerted high applicational value in a broad range of …

Artificial intelligence (AI) governance is required to reap the benefits and manage the risks
brought by AI systems. This means that ethical principles, such as fairness, need to be …

The increasing integration of Artificial Intelligence (AI) systems in diverse sectors has raised
concerns regarding transparency, trust, and ethical data handling. This study investigates …

Research evidence has emphasized the potential of questioning-based dilemmas and has
contextualized role-play simulation to foster students' artificial intelligence (AI) ethics …

Today, many industrial processes are undergoing digital transformation, which often
requires the integration of well-understood domain models and state-of-the-art machine …

This literature review delves into the intersection of business analytics and its potential to
address economic inequalities. In an era where data-driven decision-making is becoming …

The organizational use of artificial intelligence (AI) has rapidly spread across various
sectors. Alongside the awareness of the benefits brought by AI, there is a growing …

The rapid diffusion of artificial intelligence (AI) technologies in the defence domain raises
challenges for the ethical governance of these systems. A recent shift from the what to the …

This article provides a methodology for the interpretation of AI ethics principles to specify
ethical criteria for the development and deployment of AI systems in high-risk domains. The …