Tag: <span>artificial intelligence</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 …

Discerning Between the “easy” and “Hard” Problems of AI Governance

While there is widespread consensus that artificial intelligence (AI) needs to be governed owing to its rapid diffusion and societal implications, the current scholarly discussion on AI governance is dispersed across numerous disciplines and problem …

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 …