Deployed AI systems often do not work. They can be constructed haphazardly, deployed
indiscriminately, and promoted deceptively. However, despite this reality, scholars, the …

External audits of AI systems are increasingly recognized as a key mechanism for AI
governance. The effectiveness of an audit, however, depends on the degree of access …

Accounting for technologies' unintended consequences—whether they are misinformation
on social media or issues of sustainability and social justice—increasingly requires HCI to …

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 …

AI progress is creating a growing range of risks and opportunities, but it is often unclear how
they should be navigated. In many cases, the barriers and uncertainties faced are at least …

While there is universal agreement that agents ought to act ethically, there is no agreement
as to what constitutes ethical behaviour. To address this problem, recent philosophical …

In the criminal justice system, algorithmic risk assessment instruments are used to predict
the risk a defendant poses to society; examples include the risk of recidivating or the risk of …

The introduction of AI into working processes has resulted in workers increasingly being
subject to AI-related harms. By analyzing incidents of worker-related AI harms between 2008 …

In this article, I identify and critically examine 3 dogmas of normativity that support a
commonly accepted 'Passivist View'of rational agency. I raise some questions about these …

Artificial intelligence (AI) is supposed to help us make better choices. Some of these choices
are small, like what route to take to work, or what music to listen to. Others are big, like what …