Brought into the public discourse through investigative work by journalists and scholars,
awareness of algorithmic harms is at an all-time high. An increasing amount of research has …

New artificial intelligence (AI) systems grounded in machine learning are being integrated
into our lives at a rapid rate, but not without consequence: scholars across domains have …

The computer science research community and the broader public have become
increasingly aware of negative consequences of algorithmic systems. In response, the top …

With a growing number of cases of algorithmic harm being reported, various stakeholders
are developing strategies for changing the algorithmic regime for the better. In this …

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 …

Algorithmic systems are increasingly impacting our everyday lives, leading to growing
concern about the protection of fundamental rights (see eg, EU proposal for a Regulation on …

What does it take to meet the AI imperative? Clearly, technical proficiency is essential. For
example, educators will need to teach students what algorithms are and gain experience …

Systems employing algorithms that are based on machine learning (ML) are all around us.
Used for purposes of classification, diagnosis, prediction, and recommendation, these …

This paper introduces a collaborative, human-centered taxonomy of AI, algorithmic and
automation harms. We argue that existing taxonomies, while valuable, can be narrow …

Momentum among practitioners has led to the development of practices to better identify and
minimize sociotechnical harms (eg,[22, 53, 122, 131]). Alongside broader movements …