As the use of algorithmic systems in high-stakes decision-making increases, the ability to
contest algorithmic decisions is being recognised as an important safeguard for individuals …

Recent research claims that information cues and system attributes of algorithmic decision-
making processes affect decision subjects' fairness perceptions. However, little is still known …

Fueled by ever-growing amounts of (digital) data and advances in artificial intelligence,
decision-making in contemporary societies is increasingly delegated to automated …

The ever-increasing application of algorithms to decision-making in a range of social
contexts has prompted demands for algorithmic accountability. Accountable decision …

Data-driven decision-making consequential to individuals raises important questions of
accountability and justice. Indeed, European law provides individuals limited rights …

Concerns about" black box" machine learning algorithms have influenced why modern data
protection laws and regulations on their establishment of a right to human intervention on …

The ongoing substitution of human decision makers by automated decision-making (ADM)
systems in a whole range of areas raises the question of whether and, if so, under which …

With the rise of computer algorithms in administrative decision-making, concerns are voiced
about their lack of transparency and discretionary space for human decision-makers …

Existing approaches to 'algorithmic accountability', such as transparency, provide an
important baseline, but are insufficient to address the (potential) harm to human rights …

Many seem to think that AI-induced responsibility gaps are morally bad and therefore ought
to be avoided. We argue, by contrast, that there is at least a pro tanto reason to welcome …