Fairness in graph mining: A survey
Graph mining algorithms have been playing a significant role in myriad fields over the years.
However, despite their promising performance on various graph analytical tasks, most of …
However, despite their promising performance on various graph analytical tasks, most of …
Mind the GAP: A balanced corpus of gendered ambiguous pronouns
K Webster, M Recasens, V Axelrod… - Transactions of the …, 2018 - direct.mit.edu
Coreference resolution is an important task for natural language understanding, and the
resolution of ambiguous pronouns a longstanding challenge. Nonetheless, existing corpora …
resolution of ambiguous pronouns a longstanding challenge. Nonetheless, existing corpora …
Gender recognition or gender reductionism? The social implications of embedded gender recognition systems
Automatic Gender Recognition (AGR) refers to various computational methods that aim to
identify an individual's gender by extracting and analyzing features from images, video …
identify an individual's gender by extracting and analyzing features from images, video …
Censored fairness through awareness
W Zhang, T Hernandez-Boussard… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
There has been increasing concern within the machine learning community and beyond that
Artificial Intelligence (AI) faces a bias and discrimination crisis which needs AI fairness with …
Artificial Intelligence (AI) faces a bias and discrimination crisis which needs AI fairness with …
From preference elicitation to participatory ML: A critical survey & guidelines for future research
The AI Ethics community faces an imperative to empower stakeholders and impacted
community members so that they can scrutinize and influence the design, development, and …
community members so that they can scrutinize and influence the design, development, and …
The use of AI for thermal emotion recognition: A review of problems and limitations in standard design and data
With the increased attention on thermal imagery for Covid-19 screening, the public sector
may believe there are new opportunities to exploit thermal as a modality for computer vision …
may believe there are new opportunities to exploit thermal as a modality for computer vision …
Fair decision-making under uncertainty
There has been concern within the artificial intelligence (AI) community and the broader
society regarding the potential lack of fairness of AI-based decision-making systems …
society regarding the potential lack of fairness of AI-based decision-making systems …
Fair forests: Regularized tree induction to minimize model bias
E Raff, J Sylvester, S Mills - Proceedings of the 2018 AAAI/ACM …, 2018 - dl.acm.org
The potential lack of fairness in the outputs of machine learning algorithms has recently
gained attention both within the research community as well as in society more broadly …
gained attention both within the research community as well as in society more broadly …
Fairness with censorship and group constraints
Fairness in machine learning (ML) has gained attention within the ML community and the
broader society beyond with many fairness definitions and algorithms being proposed …
broader society beyond with many fairness definitions and algorithms being proposed …