With rapid development and deployment of generative language models in g...
Stereotype benchmark datasets are crucial to detect and mitigate social
...
We introduce a new dataset of conversational speech representing English...
In this paper, we present findings from an semi-experimental exploration...
Recent research has revealed undesirable biases in NLP data and models.
...
Artificial intelligence (AI) systems attempt to imitate human behavior. ...
Questions regarding implicitness, ambiguity and underspecification are
c...
Research on fairness, accountability, transparency and ethics of AI-base...
Recent research has revealed undesirable biases in NLP data and models.
...
Participatory approaches to artificial intelligence (AI) and machine lea...
Human annotated data plays a crucial role in machine learning (ML) resea...
Forming a reliable judgement of a machine learning (ML) model's
appropri...
Large language models have been shown to achieve remarkable performance
...
Human annotations play a crucial role in machine learning (ML) research ...
Testing practices within the machine learning (ML) community have center...
Majority voting and averaging are common approaches employed to resolve
...
A common practice in building NLP datasets, especially using crowd-sourc...
Metaphors are widely used in political rhetoric as an effective framing
...
Conventional algorithmic fairness is West-centric, as seen in its sub-gr...
Conventional algorithmic fairness is Western in its sub-groups, values, ...
Linguists characterize dialects by the presence, absence, and frequency ...
Machine learning (ML) fairness research tends to focus primarily on
math...
Building equitable and inclusive NLP technologies demands consideration ...
Data-driven statistical Natural Language Processing (NLP) techniques lev...
Can language analysis reveal the underlying social power relations that ...
Understanding how social power structures affect the way we interact wit...
Understanding how the social context of an interaction affects our dialo...
We explore training an automatic modality tagger. Modality is the attitu...