Results 11 to 20 of about 6,974,166 (301)
Bias and Fairness in Large Language Models: A Survey [PDF]
Computational Linguistics, 2023 Rapid advancements of large language models (LLMs) have enabled the processing, understanding, and generation of human-like text, with increasing integration into systems that touch our social sphere.
Isabel O. Gallegos +8 more
semanticscholar +1 more source
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
A Survey on Bias and Fairness in Machine Learning [PDF]
ACM Computing Surveys, 2019 With the widespread use of artificial intelligence (AI) systems and applications in our everyday lives, accounting for fairness has gained significant importance in designing and engineering of such systems.
Ninareh Mehrabi +4 more
semanticscholar +1 more source
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models [PDF]
First Monday, 2023 As generative language models, exemplified by ChatGPT, continue to advance in their capabilities, the spotlight on biases inherent in these models intensifies.
Emilio Ferrara
semanticscholar +1 more source
Research Synthesis Methods, 2020 Despite a major increase in the range and number of software offerings now available to help researchers produce evidence syntheses, there is currently no generic tool for producing figures to display and explore the risk‐of‐bias assessments that ...
L. McGuinness, J. Higgins
semanticscholar +1 more source
Improving the Generic Camera Calibration technique by an extended model of calibration display [PDF]
Journal of the European Optical Society-Rapid Publications, 2014 Generic camera calibration is a method to characterize vision sensors by describing a line of sight for every single pixel. This procedure frees the calibration process from the restriction to pinhole-like optics that arises in the common photogrammetric
Reh T., Li W., Burke J., Bergmann R. B.
doaj +1 more source
Multicolor Holographic Display of 3D Scenes Using Referenceless Phase Holography (RELPH)
Photonics, 2021 In this paper, we present a multicolor display via referenceless phase holography (RELPH). RELPH permits the display of full optical wave fields (amplitude and phase) using two liquid crystal phase-only spatial light modulators in a Michelson ...
André F. Müller +3 more
doaj +1 more source
Language (Technology) is Power: A Critical Survey of “Bias” in NLP [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 We survey 146 papers analyzing “bias” in NLP systems, finding that their motivations are often vague, inconsistent, and lacking in normative reasoning, despite the fact that analyzing “bias” is an inherently normative process.
Su Lin Blodgett +3 more
semanticscholar +1 more source
RoB 2: a revised tool for assessing risk of bias in randomised trials
British medical journal, 2019 Assessment of risk of bias is regarded as an essential component of a systematic review on the effects of an intervention. The most commonly used tool for randomised trials is the Cochrane risk-of-bias tool. We updated the tool to respond to developments
J. Sterne +27 more
semanticscholar +1 more source