A DeVos, A Dhabalia, H Shen, K Holstein… - Proceedings of the 2022 …, 2022 - dl.acm.org
Recent work in HCI suggests that users can be powerful in surfacing harmful algorithmic behaviors that formal auditing approaches fail to detect. However, it is not well understood …
J Bandy - Proceedings of the acm on human-computer …, 2021 - dl.acm.org
While algorithm audits are growing rapidly in commonality and public importance, relatively little scholarly work has gone toward synthesizing prior work and strategizing future research …
Recent years have seen growing interest among both researchers and practitioners in user- engaged approaches to algorithm auditing, which directly engage users in detecting …
Algorithms are ubiquitous and critical sources of information online, increasingly acting as gatekeepers for users accessing or sharing information about virtually any topic, including …
Algorithm audits are powerful tools for studying black-box systems without direct knowledge of their inner workings. While very effective in examining technical components, the method …
A Chan, R Salganik, A Markelius, C Pang… - Proceedings of the …, 2023 - dl.acm.org
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 …
ID Raji, P Xu, C Honigsberg, D Ho - Proceedings of the 2022 AAAI/ACM …, 2022 - dl.acm.org
Much attention has focused on algorithmic audits and impact assessments to hold developers and users of algorithmic systems accountable. But existing algorithmic …
Understanding the landscape of potential harms from algorithmic systems enables practitioners to better anticipate consequences of the systems they build. It also supports the …
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 …