Zobrazeno 1 - 10
of 3 667
pro vyhledávání: '"Wolfe, Robert A."'
Privacy is essential to fully enjoying the benefits of social media. While fear around privacy risks can sometimes motivate privacy management, the negative impact of such fear, particularly when it is perceived as unaddressable (i.e., "dysfunctional
Externí odkaz:
http://arxiv.org/abs/2410.16137
Adolescents are particularly vulnerable to the pressures created by social media, such as heightened self-consciousness and the need for extensive self-presentation. In this study, we investigate how BeReal, a social media platform designed to counte
Externí odkaz:
http://arxiv.org/abs/2408.02883
This research introduces the Multilevel Embedding Association Test (ML-EAT), a method designed for interpretable and transparent measurement of intrinsic bias in language technologies. The ML-EAT addresses issues of ambiguity and difficulty in interp
Externí odkaz:
http://arxiv.org/abs/2408.01966
Autor:
Wolfe, Robert, Mitra, Tanushree
Calls to use open generative language models in academic research have highlighted the need for reproducibility and transparency in scientific research. However, the impact of generative AI extends well beyond academia, as corporations and public int
Externí odkaz:
http://arxiv.org/abs/2408.01962
Popular and news media often portray teenagers with sensationalism, as both a risk to society and at risk from society. As AI begins to absorb some of the epistemic functions of traditional media, we study how teenagers in two countries speaking two
Externí odkaz:
http://arxiv.org/abs/2408.01961
Multimodal AI models capable of associating images and text hold promise for numerous domains, ranging from automated image captioning to accessibility applications for blind and low-vision users. However, uncertainty about bias has in some cases lim
Externí odkaz:
http://arxiv.org/abs/2408.01959
Autor:
Wolfe, Robert, Slaughter, Isaac, Han, Bin, Wen, Bingbing, Yang, Yiwei, Rosenblatt, Lucas, Herman, Bernease, Brown, Eva, Qu, Zening, Weber, Nic, Howe, Bill
The rapid proliferation of generative AI has raised questions about the competitiveness of lower-parameter, locally tunable, open-weight models relative to high-parameter, API-guarded, closed-weight models in terms of performance, domain adaptation,
Externí odkaz:
http://arxiv.org/abs/2405.16820
Autor:
Wolfe, Robert, Mitra, Tanushree
Generative AI appears poised to transform white collar professions, with more than 90% of Fortune 500 companies using OpenAI's flagship GPT models, which have been characterized as "general purpose technologies" capable of effecting epochal changes i
Externí odkaz:
http://arxiv.org/abs/2405.15985
Language models are trained on large-scale corpora that embed implicit biases documented in psychology. Valence associations (pleasantness/unpleasantness) of social groups determine the biased attitudes towards groups and concepts in social cognition
Externí odkaz:
http://arxiv.org/abs/2307.03360
Publikováno v:
ACM FAccT 2023
Nine language-vision AI models trained on web scrapes with the Contrastive Language-Image Pretraining (CLIP) objective are evaluated for evidence of a bias studied by psychologists: the sexual objectification of girls and women, which occurs when a p
Externí odkaz:
http://arxiv.org/abs/2212.11261