Zobrazeno 1 - 10
of 1 988
pro vyhledávání: '"A. Nouar"'
Autor:
Francisco, Kishi Kobe Yee, Apuhin, Andrane Estelle Carnicer, Tan, Myles Joshua Toledo, Byers, Mickael Cavanaugh, Maravilla, Nicholle Mae Amor Tan, Karim, Hezerul Abdul, AlDahoul, Nouar
Personalized medicine (PM) promises to transform healthcare by providing treatments tailored to individual genetic, environmental, and lifestyle factors. However, its high costs and infrastructure demands raise concerns about exacerbating health disp
Externí odkaz:
http://arxiv.org/abs/2411.02307
Technologies for recognizing facial attributes like race, gender, age, and emotion have several applications, such as surveillance, advertising content, sentiment analysis, and the study of demographic trends and social behaviors. Analyzing demograph
Externí odkaz:
http://arxiv.org/abs/2410.24148
A Longitudinal Analysis of Racial and Gender Bias in New York Times and Fox News Images and Articles
Autor:
Ibrahim, Hazem, AlDahoul, Nouar, Abbasi, Syed Mustafa Ali, Zaffar, Fareed, Rahwan, Talal, Zaki, Yasir
The manner in which different racial and gender groups are portrayed in news coverage plays a large role in shaping public opinion. As such, understanding how such groups are portrayed in news media is of notable societal value, and has thus been a s
Externí odkaz:
http://arxiv.org/abs/2410.21898
Recent breakthroughs in Large Language Models (LLMs) have led to their adoption across a wide range of tasks, ranging from code generation to machine translation and sentiment analysis, etc. Red teaming/Safety alignment efforts show that fine-tuning
Externí odkaz:
http://arxiv.org/abs/2409.15361
Large language models (LLMs) demonstrate impressive zero-shot and few-shot reasoning capabilities. Some propose that such capabilities can be improved through self-reflection, i.e., letting LLMs reflect on their own output to identify and correct mis
Externí odkaz:
http://arxiv.org/abs/2406.10400
Images are often termed as representations of perceived reality. As such, racial and gender biases in popular media imagery could play a vital role in shaping people's perceptions of society. While inquiries into such biases have examined the frequen
Externí odkaz:
http://arxiv.org/abs/2405.06404
A quarter of US adults regularly get their news from YouTube. Yet, despite the massive political content available on the platform, to date no classifier has been proposed to identify the political leaning of YouTube videos. To fill this gap, we prop
Externí odkaz:
http://arxiv.org/abs/2404.04261
Text-to-image generative AI models such as Stable Diffusion are used daily by millions worldwide. However, the extent to which these models exhibit racial and gender stereotypes is not yet fully understood. Here, we document significant biases in Sta
Externí odkaz:
http://arxiv.org/abs/2402.01002
Generative Artificial Intelligence (AI) is a cutting-edge technology capable of producing text, images, and various media content leveraging generative models and user prompts. Between 2022 and 2023, generative AI surged in popularity with a plethora
Externí odkaz:
http://arxiv.org/abs/2310.17370
Autor:
Nicolas Sadovnik, Pengbo Lyu, Farid Nouar, Mégane Muschi, Menghao Qin, Guillaume Maurin, Christian Serre, Marco Daturi
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Indoor air pollution is one of the major threads in developed countries, notably due to high concentrations of formaldehyde, a harmful molecule difficult to eliminate. Addressing this purification challenge while adhering to the principles o
Externí odkaz:
https://doaj.org/article/493b1fcc75df4e609bcab6e7f81f5d01
