The mounting evidence of unintended harmful social consequences of automated
algorithmic decision-making (AADM), powered by AI and big data, in transformative services …

It has become trivial to point out how decision-making processes in various social, political
and economical sphere are assisted by automated systems. Improved efficiency, the …

These are legitimate long-term worries. But they are not all we have to worry about, and
placing them center stage distracts from ethical questions that AI is raising here and now …

This paper argues that the hype around 'ethics' as panacea for remedying algorithmic
discrimination is a smokescreen for carrying on with business as usual. First, it analyses how …

Arguments in favor of tempering algorithmic decision making with human judgment often
appeal to concepts and criteria derived from legal philosophy about the nature of law and …

The article discusses the human rights implications of algorithmic decision-making in the
social welfare sphere. It does so against the background of the 2020 Hague's District Court …

Fairness is one of the most prominent values in the Ethics and Artificial Intelligence (AI)
debate and, specifically, in the discussion on algorithmic decision-making (ADM). However …

It has become trivial to point out that algorithmic systems increasingly pervade the social
sphere. Improved efficiency—the hallmark of these systems—drives their mass integration …

Algorithmic fairness (AF) has been framed as a newly emerging technology that mitigates
systemic discrimination in automated decision‐making, providing opportunities to improve …

Although computer scientists are eager to help address social problems, the field faces a
growing awareness that many well-intentioned applications of algorithms in social contexts …