For organizations, the development of new business models and competitive advantages
through the integration of artificial intelligence (AI) in business and IT strategies holds …

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 …

Large language models (LLMs) represent a major advance in artificial intelligence (AI)
research. However, the widespread use of LLMs is also coupled with significant ethical and …

Abstract The proposed European Artificial Intelligence Act (AIA) is the first attempt to
elaborate a general legal framework for AI carried out by any major global economy. As …

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 …

Ethics-based auditing (EBA) is a structured process whereby an entity's past or present
behaviour is assessed for consistency with moral principles or norms. Recently, EBA has …

This paper engages with the emerging field of Artificial Intelligence (AI) governance wishing
to contribute to the relevant literature from three angles grounded in international human …

This study explores how organizations translate principles of ethical artificial intelligence (AI)
into practice. To date, the research on AI ethics has been mostly conceptual, with a …

In this study we explore the incorporation of artificial intelligence (AI) governance to system
development life cycle (SDLC) models. We conducted expert interviews among AI and …

Abstract The field of Artificial Intelligence (AI) is rapidly advancing, with significant potential
to transform society. However, it faces a notable challenge: lack of diversity, a longstanding …