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 …
Ethics-based AI auditing: A systematic literature review on conceptualizations of ethical principles and knowledge contributions to stakeholders
This systematic literature review synthesizes the conceptualizations of ethical principles in AI
auditing literature and the knowledge contributions to the stakeholders of AI auditing. We …
auditing literature and the knowledge contributions to the stakeholders of AI auditing. We …
Auditing large language models: a three-layered approach
Large language models (LLMs) represent a major advance in artificial intelligence (AI)
research. However, the widespread use of LLMs is also coupled with significant ethical and …
research. However, the widespread use of LLMs is also coupled with significant ethical and …
Users choose to engage with more partisan news than they are exposed to on Google Search
If popular online platforms systematically expose their users to partisan and unreliable news,
they could potentially contribute to societal issues such as rising political polarization,. This …
they could potentially contribute to societal issues such as rising political polarization,. This …
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 …
[LIVRE][B] Not born yesterday: The science of who we trust and what we believe
H Mercier - 2020 - degruyter.com
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... De Gruyter € EUR - Euro £ GBP - Pound $ USD - Dollar EN English Deutsch 0 Subjects Skip …
[LIVRE][B] Fairness and machine learning: Limitations and opportunities
An introduction to the intellectual foundations and practical utility of the recent work on
fairness and machine learning. Fairness and Machine Learning introduces advanced …
fairness and machine learning. Fairness and Machine Learning introduces advanced …
Discrimination through optimization: How Facebook's Ad delivery can lead to biased outcomes
The enormous financial success of online advertising platforms is partially due to the precise
targeting features they offer. Although researchers and journalists have found many ways …
targeting features they offer. Although researchers and journalists have found many ways …
Examining the consumption of radical content on YouTube
Although it is under-studied relative to other social media platforms, YouTube is arguably the
largest and most engaging online media consumption platform in the world. Recently …
largest and most engaging online media consumption platform in the world. Recently …
Digital trace data collection for social media effects research: APIs, data donation, and (screen) tracking
In social media effects research, the role of specific social media content is understudied, in
part attributable to the fact that communication science previously lacked methods to access …
part attributable to the fact that communication science previously lacked methods to access …