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 …
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
Recent years have seen growing interest among both researchers and practitioners in user-
engaged approaches to algorithm auditing, which directly engage users in detecting …
engaged approaches to algorithm auditing, which directly engage users in detecting …
A survey on ChatGPT: AI-generated contents, challenges, and solutions
With the widespread use of large artificial intelligence (AI) models such as ChatGPT, AI-
generated content (AIGC) has garnered increasing attention and is leading a paradigm shift …
generated content (AIGC) has garnered increasing attention and is leading a paradigm shift …
Auditing algorithms: Understanding algorithmic systems from the outside in
Algorithms are ubiquitous and critical sources of information online, increasingly acting as
gatekeepers for users accessing or sharing information about virtually any topic, including …
gatekeepers for users accessing or sharing information about virtually any topic, including …
Exploring how machine learning practitioners (try to) use fairness toolkits
Recent years have seen the development of many open-source ML fairness toolkits aimed
at helping ML practitioners assess and address unfairness in their systems. However, there …
at helping ML practitioners assess and address unfairness in their systems. However, there …
Building and auditing fair algorithms: A case study in candidate screening
Academics, activists, and regulators are increasingly urging companies to develop and
deploy sociotechnical systems that are fair and unbiased. Achieving this goal, however, is …
deploy sociotechnical systems that are fair and unbiased. Achieving this goal, however, is …
Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors
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 …
for biased and harmful behaviors. While formal auditing approaches have been greatly …
Auditing for discrimination in algorithms delivering job ads
Ad platforms such as Facebook, Google and LinkedIn promise value for advertisers through
their targeted advertising. However, multiple studies have shown that ad delivery on such …
their targeted advertising. However, multiple studies have shown that ad delivery on such …
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 …
behaviors that formal auditing approaches fail to detect. However, it is not well understood …
Reframing data ethics in research methods education: a pathway to critical data literacy
This paper presents an ethical framework designed to support the development of critical
data literacy for research methods courses and data training programmes in higher …
data literacy for research methods courses and data training programmes in higher …