Important decisions that impact humans lives, livelihoods, and the natural environment are
increasingly being automated. Delegating tasks to so-called automated decision-making …

Organisations increasingly use automated decision-making systems (ADMS) to inform
decisions that affect humans and their environment. While the use of ADMS can improve the …

A series of recent developments points towards auditing as a promising mechanism to
bridge the gap between principles and practice in AI ethics. Building on ongoing discussions …

Rising concern for the societal implications of artificial intelligence systems has inspired a
wave of academic and journalistic literature in which deployed systems are audited for harm …

This article offers several contributions to the interdisciplinary project of responsible
research and innovation in data science and AI. First, it provides a critical analysis of current …

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 …

Accounting firms are reporting the use of Artificial Intelligence (AI) in their auditing and
advisory functions, citing benefits such as time savings, faster data analysis, increased …

Highly automated systems are becoming omnipresent. They range in function from self-
driving vehicles to advanced medical diagnostics and afford many benefits. However, there …

This paper introduces reviewability as a framework for improving the accountability of
automated and algorithmic decisionmaking (ADM) involving machine learning. We draw on …

We argue that the phenomena of distributed responsibility, induced acceptance, and
acceptance through ignorance constitute instances of imperfect delegation when tasks are …