Models for understanding and holding systems accountable have long rested upon ideals
and logics of transparency. Being able to see a system is sometimes equated with being …

This paper explores how accountability might make otherwise obscure and inaccessible
algorithms available for governance. The potential import and difficulty of accountability is …

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

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 …

AI systems play an increasingly important role in shaping and regulating the lives of millions
of human beings across the world. Calls for greater transparency from such systems have …

Every day automated algorithms make decisions that can amplify the power of businesses
and governments. Yet as algorithms come to regulate more aspects of our lives, the contours …

Scientists depend on complex computational systems that are often ineliminably opaque, to
the detriment of our ability to give scientific explanations and detect artifacts. Some …

Part of understanding the meaning and power of algorithms means asking what new
demands they might make of ethical frameworks, and how they might be held accountable to …

The growing use of difficult-to-parse algorithmic systems in the production of news, from
algorithmic curation to automated writing and news bots, problematizes the normative turn …

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 …