Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors

H Shen, A DeVos, M Eslami, K Holstein - Proceedings of the ACM on …, 2021 - dl.acm.org
A growing body of literature has proposed formal approaches to audit algorithmic systems
for biased and harmful behaviors. While formal auditing approaches have been greatly …

Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior

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 …

Problematic machine behavior: A systematic literature review of algorithm audits

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 …

Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice

WH Deng, B Guo, A Devrio, H Shen, M Eslami… - Proceedings of the …, 2023 - dl.acm.org
Recent years have seen growing interest among both researchers and practitioners in user-
engaged approaches to algorithm auditing, which directly engage users in detecting …

Auditing algorithms: Understanding algorithmic systems from the outside in

D Metaxa, JS Park, RE Robertson… - … and Trends® in …, 2021 - nowpublishers.com
Algorithms are ubiquitous and critical sources of information online, increasingly acting as
gatekeepers for users accessing or sharing information about virtually any topic, including …

Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising

MS Lam, A Pandit, CH Kalicki, R Gupta… - Proceedings of the …, 2023 - dl.acm.org
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 …

Harms from increasingly agentic algorithmic systems

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 …

Outsider oversight: Designing a third party audit ecosystem for ai governance

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 …

Sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction

R Shelby, S Rismani, K Henne, AJ Moon… - Proceedings of the …, 2023 - dl.acm.org
Understanding the landscape of potential harms from algorithmic systems enables
practitioners to better anticipate consequences of the systems they build. It also supports the …

The algorithm audit: Scoring the algorithms that score us

S Brown, J Davidovic, A Hasan - Big Data & Society, 2021 - journals.sagepub.com
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 …