Fairness And Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, And Mitigation Strategies [PDF]
Social Science Research Network, 2023 The significant advancements in applying artificial intelligence (AI) to healthcare decision-making, medical diagnosis, and other domains have simultaneously raised concerns about the fairness and bias of AI systems.
Emilio Ferrara
semanticscholar +1 more source
Quantum error mitigation [PDF]
Reviews of Modern Physics, 2022 For quantum computers to successfully solve real-world problems, it is necessary to tackle the challenge of noise: the errors which occur in elementary physical components due to unwanted or imperfect interactions.
Z. Cai +7 more
semanticscholar +1 more source
Closing the Resilience Gap: A Preliminary Study on Establishing the National Fragility Curve Catalog for Multi-Hazard Assessment in Indonesia [PDF]
E3S Web of Conferences, 2023 This research paper presents a preliminary study aimed at closing the resilience gap in Indonesia through the establishment of a national fragility curve catalog for multi-hazard assessment.
Ulza Adrian +3 more
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Jurnal Teknik Sipil, 2021 Peristiwa banjir yang dialami oleh masyarakat di hilir sungai Krueng Teunom di Kabupaten Aceh Jaya dapat mewakili kasus-kasus bencana banjir yang sering terjadi di kawasan pesisir barat Provinsi Aceh.
Ella Meilianda +6 more
doaj +1 more source
A review of the global climate change impacts, adaptation, and sustainable mitigation measures
Environmental science and pollution research international, 2022 Climate change is a long-lasting change in the weather arrays across tropics to polls. It is a global threat that has embarked on to put stress on various sectors.
Kashif Abbass +5 more
semanticscholar +1 more source
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey [PDF]
ACM Journal on Responsible Computing, 2022 This article provides a comprehensive survey of bias mitigation methods for achieving fairness in Machine Learning (ML) models. We collect a total of 341 publications concerning bias mitigation for ML classifiers. These methods can be distinguished based
Max Hort +4 more
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Experimental Study on the Shear Strength of Loess Modified by Microbial Precipitation Technology
Advances in Materials Science and Engineering, 2022 The shear strength (vertical pressure 50, 100, 200, and 300 kPa) and soil structure of the remolded loess with different proportions of the microbial cementing solution were measured and observed by the direct shear test and scanning electron microscopy (
Bing-Xia Wang +4 more
doaj +1 more source
Bias in artificial intelligence algorithms and recommendations for mitigation
PLOS Digital Health, 2023 The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such algorithms may be shaped by various factors such as social determinants of health that can influence health outcomes. While AI algorithms have been proposed
L. Nazer +10 more
semanticscholar +1 more source
Cost-effective mitigation of nitrogen pollution from global croplands
Nature, 2023 A meta-analysis of 1,521 field observations from the past two decades led to the identification of 11 key measures to cost-effectively mitigate nitrogen pollution from global croplands.
Baojing Gu +15 more
semanticscholar +1 more source
The Rising Threat of Atmospheric CO2: A Review on the Causes, Impacts, and Mitigation Strategies
Environments, 2023 The increasing levels of carbon dioxide (CO2) in the atmosphere have become a major environmental challenge due to their contribution to global warming.
Leonel J. R. Nunes
semanticscholar +1 more source