An increasing number of regulations propose 'AI audits' as a mechanism for achieving
transparency and accountability for artificial intelligence (AI) systems. Despite some …

Algorithmic audits (or 'AI audits') are an increasingly popular mechanism for algorithmic
accountability; however, they remain poorly defined. Without a clear understanding of audit …

Rising concern for the societal implications of artificial intelligence systems has inspired a
wave of academic and journalistic literature in which deployed systems are audited for harm …

Algorithmic decision systems, many using artificial intelligence, are reshaping the provision
of private and public services across the globe. There is an urgent need for algorithmic …

Stakeholders concerned with bias, discrimination, and fairness in algorithmic systems are
increasingly turning to audits, which typically apply generalizable methods and formal …

Much attention has focused on algorithmic audits and impact assessments to hold
developers and users of algorithmic systems accountable. But existing algorithmic …

In July 2023, New York City (NYC) implemented the first attempt to create an algorithm
auditing regime for commercial machine-learning systems. Local Law 144 (LL 144), requires …

Algorithms are becoming more widely used in business, and businesses are becoming
increasingly concerned that their algorithms will cause significant reputational or financial …

In this paper, we present the Algorithmic Audit (AA) of REM! X, a personalized well-being
recommendation app developed by Telefónica Innovación Alpha. The main goal of the AA …

Efforts to address algorithmic harms have gathered particular steam over the last few years.
One area of proposed opportunity is the notion of an “algorithmic audit,” specifically an …