Research in Fairness, Accountability, Transparency, and Ethics (FATE) 1 has established
many sources and forms of algorithmic harm, in domains as diverse as health care, finance …

Research to date aimed at the fairness, accountability, and transparency of algorithmic
systems has largely focused on topics such as identifying failures of current systems and on …

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 …

Understanding the landscape of potential harms from algorithmic systems enables
practitioners to better anticipate consequences of the systems they build. It also supports the …

We are living in an algorithmic age where mathematics and computer science are coming
together in powerful new ways to influence, shape and guide our behaviour and the …

Artificial intelligence and algorithmic decision-making (ADM) technologies are hidden
everywhere in today's modern society. They calculate credit scores, automatically update …

As research on algorithms and their impact proliferates, so do calls for scrutiny/accountability
of algorithms. A systematic review of the work that has been done in the field of'algorithmic …

As algorithms have become ubiquitous in consequential domains, societal concerns about
the potential for discriminatory outcomes have prompted urgent calls to address algorithmic …

While organizations today make extensive use of complex algorithms, the notion of
algorithmic accountability remains an elusive ideal due to the opacity and fluidity of …

Academic and policy proposals on algorithmic accountability often seek to understand
algorithmic systems in their socio-technical context, recognising that they are produced by …