Outsider oversight: Designing a third party audit ecosystem for ai governance
Much attention has focused on algorithmic audits and impact assessments to hold
developers and users of algorithmic systems accountable. But existing algorithmic …
developers and users of algorithmic systems accountable. But existing algorithmic …
Interactive model cards: A human-centered approach to model documentation
Deep learning models for natural language processing (NLP) are increasingly adopted and
deployed by analysts without formal training in NLP or machine learning (ML). However, the …
deployed by analysts without formal training in NLP or machine learning (ML). However, the …
Epistemic fragmentation poses a threat to the governance of online targeting
Online targeting isolates individual consumers, causing what we call epistemic
fragmentation. This phenomenon amplifies the harms of advertising and inflicts structural …
fragmentation. This phenomenon amplifies the harms of advertising and inflicts structural …
" Give Everybody [..] a Little Bit More Equity": Content Creator Perspectives and Responses to the Algorithmic Demonetization of Content Associated with …
Algorithmic systems help manage the governance of digital platforms featuring user-
generated content, including how money is distributed to creators from the profits a platform …
generated content, including how money is distributed to creators from the profits a platform …
What makes a “bad” ad? user perceptions of problematic online advertising
Online display advertising on websites is widely disliked by users, with many turning to ad
blockers to avoid “bad” ads. Recent evidence suggests that today's ads contain potentially …
blockers to avoid “bad” ads. Recent evidence suggests that today's ads contain potentially …
Problematic advertising and its disparate exposure on facebook
Targeted advertising remains an important part of the free web browsing experience, where
advertisers' targeting and personalization algorithms together find the most relevant …
advertisers' targeting and personalization algorithms together find the most relevant …
Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms?
R Li, S Kingsley, C Fan, P Sinha, N Wai, J Lee… - Proceedings of the …, 2023 - dl.acm.org
Recent years have witnessed an interesting phenomenon in which users come together to
interrogate potentially harmful algorithmic behaviors they encounter in their everyday lives …
interrogate potentially harmful algorithmic behaviors they encounter in their everyday lives …
Polls, clickbait, and commemorative $2 bills: problematic political advertising on news and media websites around the 2020 US elections
Online advertising can be used to mislead, deceive, and manipulate Internet users, and
political advertising is no exception. In this paper, we present a measurement study of online …
political advertising is no exception. In this paper, we present a measurement study of online …
Discrimination through Image Selection by Job Advertisers on Facebook
Targeted advertising platforms are widely used by job advertisers to reach potential
employees; thus issues of discrimination due to targeting that have surfaced have received …
employees; thus issues of discrimination due to targeting that have surfaced have received …
Towards an international standard for regulating algorithmic management: a blueprint
Algorithmic management systems have been deployed all over the economy in recent years:
software on knowledge workers' computers monitor their keystrokes and mouse movements …
software on knowledge workers' computers monitor their keystrokes and mouse movements …