Results 11 to 20 of about 246,254 (290)
Opening the ‘black box’ of algorithms: regulation of algorithms in China
Communication Research and PracticeThis article maps the trajectory of China’s regulation of algorithms via policy review. It divides China’s governing progress into three phases: the ‘post-event policy response and penalty’ phase, the ‘ethics guidelines, guiding opinions and self ...
Jian Xu
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Matrix black box algorithms - a survey [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2022 The implementations of matrix multiplication on contemporary, vector-oriented, and multicore-oriented computer hardware are very carefully designed and optimized with respect to their efficiency, due to the essential significance of that operation in ...
Jerzy Respondek
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Overcoming the Black Box Challenge: Building Trust in Artificial Intelligence Algorithms in Oncology [PDF]
Technology in Cancer Research & TreatmentRising global cancer rates are projected to significantly increase by 2050, highlighting the urgent need for improved scalable prevention, early detection, and personalized therapy tools.
Esther Ugo Alum PhD +7 more
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Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals [PDF]
SIGMOD Conference, 2021 There has been a recent resurgence of interest in explainable artificial intelligence (XAI) that aims to reduce the opaqueness of AI-based decision-making systems, allowing humans to scrutinize and trust them.
Sainyam Galhotra +2 more
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Comparative Research on Application of Adversarial Samples for End-to-End Speaker Identification [PDF]
Jisuanji gongcheng, 2021 In order to explore the security threats and attack effects of the adversarial samples on the end-to-end speaker identification system, this paper analyzes five white box algorithms(FGSM, JSMA, BIM, C&W, PGD) and two black box algorithms(ZOO, HSJA ...
LIAO Junfan, GU Yijun, ZHANG Peijing, LIAO Qian
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Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization [PDF]
Annual Conference on Genetic and Evolutionary Computation, 2023 Genetic algorithms constitute a family of black-box optimization algorithms, which take inspiration from the principles of biological evolution. While they provide a general-purpose tool for optimization, their particular instantiations can be heuristic ...
R. Lange +6 more
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Journal of Medical Ethics, 2021 The use of black box algorithms in medicine has raised scholarly concerns due to their opaqueness and lack of trustworthiness. Concerns about potential bias, accountability and responsibility, patient autonomy and compromised trust transpire with black ...
J. Durán, K. Jongsma
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Black-box tests for algorithmic stability
Information and Inference: A Journal of the IMA, 2023 Abstract Algorithmic stability is a concept from learning theory that expresses the degree to which changes to the input data (e.g. removal of a single data point) may affect the outputs of a regression algorithm. Knowing an algorithm’s stability properties is often useful for many downstream applications—for example, stability is known ...
Byol Kim, Rina Foygel Barber
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Embryo Selection by “Black-Box” Artificial Intelligence: The Ethical and Epistemic Considerations
Fertility & Reproduction, 2022 Background: The combination of time-lapse imaging and artificial intelligence (AI) offers novel potential for embryo assessment by allowing a vast quantity of image data to be analysed via machine learning.
Yanhe LIU +6 more
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Black box algorithms and the rights of individuals: no easy solution to the "explainability" problem
Internet Policy Review, 2021 : Over the last few years, the interpretability of classification models has been a very active area of research. Recently, the concept of interpretability was given a more specific legal context.
Jarek Gryz, Marcin Rojszczak
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