How can we manage biases in artificial intelligence systems – A systematic literature review-Reference-Cited by-同舟云学术

How can we manage biases in artificial intelligence systems – A systematic literature review

Published:2023-04 Issue:1 Volume:3 Page:100165
ISSN:2667-0968
Container-title:International Journal of Information Management Data Insights
language:en
Short-container-title:International Journal of Information Management Data Insights

Author:

P．S． Dr. Varsha^ORCID

Publisher

Elsevier BV

Subject

Library and Information Sciences,Industrial and Manufacturing Engineering,Information Systems and Management,Information Systems,Artificial Intelligence,Management Information Systems

Reference143 articles.

1. Analyzing angle crashes at unsignalized intersections using machine learning techniques;Abdel-Aty;Accident Analysis & Prevention,2011

2. Accenture (2021). “Responsible AI: From principles to practice” https://www.accenture.com/us-en/insights/artificial-intelligence/responsible-ai-principles-practice Retrieved from 14h August 2022.

3. Accenture (2018). Accenture launches new artificial intelligence testing services, https://newsroom.accenture.com/news/accenture-launches-new-artificial-intelligence-testing-services.htm#:~:Text=Accenture's%20%E2%80%9CTeach%20and%20Test%E2%80%9D%20methodology,used%20to%20train%20machine%20learning Retrieved from Nov 26th, 2022.

4. Peeking inside the black-box: A survey on explainable artificial intelligence (XAI);Adadi;IEEE Access: Practical Innovations, Open solutions,2018

5. Transforming business using digital innovations: The application of AI, blockchain, cloud and data analytics;Akter;Annals of Operations Research,2020

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