Investigating Sources and Effects of Bias in AI-Based Systems – Results from an MLR-Reference-Cited by-同舟云学术

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Investigating Sources and Effects of Bias in AI-Based Systems – Results from an MLR

Published:2023 Issue: Volume: Page:20-35
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

De Buitlear Caoimhe,Byrne Ailbhe,McEvoy Eric,Camara Abasse,Yilmaz Murat^ORCID,McCarren Andrew^ORCID,Clarke Paul M.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-42307-9_2

Reference78 articles.

1. Buchanan, B.G.: A (Very) brief history of artificial intelligence. AI Mag. 26(4), 53 (2005). https://ojs.aaai.org/aimagazine/index.php/aimagazine/article/view/1848. Accessed 15 Feb 2023

2. Schroer, A.: What is artificial intelligence? Built. (2022). https://builtin.com/artificial-intelligence. Accessed 15 Feb 2023

3. Lowe, A., Lawless, S.: Artificial intelligence foundations. BCS, The Chartered Institute for IT, London, UK (2021)

4. Glover, E.: Strong AI vs weak AI: what’s the difference? Built. (2022). https://builtin.com/artificial-intelligence/strong-ai-weak-ai. Accessed 16 Feb 2023

5. Bias: Cambridge University Press dictionary, translations & thesaurus. https://dictionary.cambridge.org/. Accessed 10 Feb 2023

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