Purpose Inscrutable machine learning (ML) models are part of increasingly many
information systems. Understanding how these models behave, and what their output is …

Purpose Following the surge of documents laying out organizations' ethical principles for
their use of artificial intelligence (AI), there is a growing demand for translating ethical …

Artificial intelligence (AI) has elicited much attention across disciplines and industries (Hyder
et al., 2019). AI has been defined as “a system's ability to correctly interpret external data, to …

AI provides many transformational benefits to organisations across all industries and sectors
(Alshahrani et al., 2021; Dennehy et al., 2022; Dwivedi et al., 2021; Elbanna et al., 2020; …

Artificial intelligence (AI) governance and auditing promise to bridge the gap between AI
ethics principles and the responsible use of AI systems, but they require assessment …

Governing artificial intelligence (AI) requires cooperation, although the collaboration's form
remains unclear. Technological frames provide a theoretical perspective for understanding …

This systematic literature review synthesizes the conceptualizations of ethical principles in AI
auditing literature and the knowledge contributions to the stakeholders of AI auditing. We …

As consensus across the various published AI ethics principles is approached, a gap
remains between high-level principles and practical techniques that can be readily adopted …

Abstract In February 2024, the Council and the European Parliament (EP) agreed on the
Artificial Intelligence Regulation (usually known as AI Act, AIA) 1. This regulation evaluates …

A number of articles are increasingly raising awareness on the different uses of artificial
intelligence (AI) technologies for customers and businesses. Many authors discuss about …