A wave of recent scholarship documenting the discriminatory harms of algorithmic systems
has spurred widespread interest in algorithmic accountability and regulation. Yet effective …

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 …

Central to a number of scholarly, regulatory, and public conversations about algorithmic
accountability is the question of who should have access to documentation that reveals the …

In this paper, we distinguish between different sorts of assessments of algorithmic systems,
describe our process of assessing such systems for ethical risk, and share some key …

Growing concerns over the societal implications of artificial intelligence has motivated an
interdisciplinary push towards mechanisms and tools that hold algorithmic systems …

Many of the ubiquitous algorithmic systems permeating society have come under scrutiny
due to their lack of accountability. As algorithmic decision making increasingly affects our …

Motivated by the extensive documented disparate harms of artificial intelligence (AI), many
recent practitioner-facing reflective tools have been created to promote responsible AI …

This hands-on session takes academic concepts and their formulation in policy initiatives
around algorithmic accountability and explainability and tests them against real cases. In …

In widely used sociological descriptions of how accountability is structured through
institutions, an “actor”(eg, the developer) is accountable to a “forum”(eg, regulatory …

Algorithmic decision-making and decision-support systems (ADS) are gaining influence over
how society distributes resources, administers justice, and provides access to opportunities …