In recent years, the ethical impact of AI has been increasingly scrutinized, with public
scandals emerging over biased outcomes, lack of transparency, and the misuse of data. This …

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 …

In an effort to regulate Machine Learning-driven (ML) systems, current auditing processes
mostly focus on detecting harmful algorithmic biases. While these strategies have proven to …

Business reliance on algorithms are becoming ubiquitous, and companies are increasingly
concerned about their algorithms causing major financial or reputational damage. High …

Academics, activists, and regulators are increasingly urging companies to develop and
deploy sociotechnical systems that are fair and unbiased. Achieving this goal, however, is …

Algorithms are becoming ubiquitous. However, companies are increasingly alarmed about
their algorithms causing major financial or reputational damage. A new industry is …

Algorithmic decision-making increasingly shapes people's daily lives. Given that such
autonomous systems can cause severe harm to individuals and social groups, fairness …

As artificial intelligence (AI) continues to permeate various aspects of our lives, the ethical
challenges associated with its development become increasingly apparent. This paper …

Algorithms are ubiquitous and critical sources of information online, increasingly acting as
gatekeepers for users accessing or sharing information about virtually any topic, including …

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