Bias in data‐driven artificial intelligence systems—An introductory survey
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Bias in data‐driven artificial intelligence systems—An introductory survey
Authors
Keywords
-
Journal
Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2020-02-03
DOI
10.1002/widm.1356
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Bias on the web
- (2018) Ricardo Baeza-Yates COMMUNICATIONS OF THE ACM
- Methods for interpreting and understanding deep neural networks
- (2018) Grégoire Montavon et al. DIGITAL SIGNAL PROCESSING
- Exploiting reject option in classification for social discrimination control
- (2018) Faisal Kamiran et al. INFORMATION SCIENCES
- On Measuring Bias in Online Information
- (2018) Evaggelia Pitoura et al. SIGMOD RECORD
- Homophily influences ranking of minorities in social networks
- (2018) Fariba Karimi et al. Scientific Reports
- Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)
- (2018) Amina Adadi et al. IEEE Access
- Lung cancer in Spanish women: The WORLD07 project
- (2018) Pilar Garrido et al. EUROPEAN JOURNAL OF CANCER CARE
- Algorithms that remember: model inversion attacks and data protection law
- (2018) Michael Veale et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Explaining Explanation, Part 1: Theoretical Foundations
- (2017) Robert R. Hoffman et al. IEEE INTELLIGENT SYSTEMS
- Optimal classification trees
- (2017) Dimitris Bertsimas et al. MACHINE LEARNING
- Clustering: how much bias do we need?
- (2017) Tom Lorimer et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Supersparse linear integer models for optimized medical scoring systems
- (2015) Berk Ustun et al. MACHINE LEARNING
- A peek into the black box: exploring classifiers by randomization
- (2014) Andreas Henelius et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Three naive Bayes approaches for discrimination-free classification
- (2010) Toon Calders et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Bias modelling in evidence synthesis
- (2008) Rebecca M. Turner et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More