International Scientific Report on the Safety of Advanced AI (Interim Report)
Y Bengio, S Mindermann, D Privitera… - ar** Review.
G Wolbring, L Nasir - Societies (2075-4698), 2024 - search.ebscohost.com
Disabled people face many social problems in their lives, as outlined by the UN Convention
on the Rights of Persons with Disabilities. These problems often increase when disabled …
on the Rights of Persons with Disabilities. These problems often increase when disabled …
VA+ Embeddings STAR: A State‐of‐the‐Art Report on the Use of Embeddings in Visual Analytics
Over the past years, an increasing number of publications in information visualization,
especially within the field of visual analytics, have mentioned the term “embedding” when …
especially within the field of visual analytics, have mentioned the term “embedding” when …
VERB: Visualizing and interpreting bias mitigation techniques geometrically for word representations
Word vector embeddings have been shown to contain and amplify biases in the data they
are extracted from. Consequently, many techniques have been proposed to identify …
are extracted from. Consequently, many techniques have been proposed to identify …
DramatVis Personae: Visual text analytics for identifying social biases in creative writing
Implicit biases and stereotypes are often pervasive in different forms of creative writing such
as novels, screenplays, and children's books. To understand the kind of biases writers are …
as novels, screenplays, and children's books. To understand the kind of biases writers are …
Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic
A De Manuel, J Delgado, I Parra Jounou… - Big Data & …, 2023 - journals.sagepub.com
The main aim of this article is to reflect on the impact of biases related to artificial intelligence
(AI) systems developed to tackle issues arising from the COVID-19 pandemic, with special …
(AI) systems developed to tackle issues arising from the COVID-19 pandemic, with special …
An empirical study on the fairness of pre-trained word embeddings
Pre-trained word embedding models are easily distributed and applied, as they alleviate
users from the effort to train models themselves. With widely distributed models, it is …
users from the effort to train models themselves. With widely distributed models, it is …