Tag: <span>AI auditing</span>

Understanding the Ethics of Generative AI: Established and New Ethical Principles

Generative AI (GenAI) and large language models (LLMs) present unprecedented ethical challenges, necessitating a reexamination of established AI ethics principles. This paper synthesizes emerging GenAI ethics literature, identifying key themes, knowledge gaps, and future directions. …

Ethics-based AI auditing: A systematic literature review on conceptualizations of ethical principles and knowledge contributions to stakeholders

Ethics-based AI auditing represents a nascent yet fragmented research domain that seeks to bridge the gap between abstract ethical ideals and actionable practices. This paper synthesizes the literature on ethics-based AI auditing by identifying key …

Continuous Auditing of Artificial Intelligence: a Conceptualization and Assessment of Tools and Frameworks

Artificial intelligence (AI), which refers to both a research field and a set of technologies, is rapidly growing and has already spread to application areas ranging from policing to healthcare and transport. The increasing AI …