Safe machine learning

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Statistics Pub Date : 2024-06-04 DOI:10.1080/02331888.2024.2361481

Paolo Giudici

引用次数: 0

Abstract

The rapid development of artificial intelligence applications based on machine learning is creating not only many opportunities but also risks. The recent regulatory and political debate, at the in...

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安全的机器学习

基于机器学习的人工智能应用的快速发展不仅创造了许多机遇，也带来了风险。最近的监管和政治辩论，在...

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来源期刊

Statistics 数学-统计学与概率论

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

12 months

期刊介绍： Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate. Statistics does not publish papers which represent mere application of existing procedures to case studies, and papers are required to contain methodological or theoretical innovation. Topics of interest include, for example, nonparametric statistics, time series, analysis of topological or functional data. Furthermore the journal also welcomes submissions in the field of theoretical econometrics and its links to mathematical statistics.