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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/3942
Title: Responsible Machine Learning for Ethical Artificial Intelligence in Business and Industry
Authors: Saxena, Deepak
Keywords: Management
Deep learning
Artificial Intelligence
Machine Learning
Issue Date: 2021
Publisher: IGI Global
Abstract: Artificial intelligence (AI) systems have become a new reality of modern life. They have become ubiquitous to virtually all socio-economic activities in business and industry. With the extent of AI's influence on our lives, it is an imperative to focus our attention on the ethics of AI. While humans develop their moral and ethical framework via self-awareness and reflection, the current generation of AI lacks these abilities. Drawing from the concept of human-AI hybrid, this chapter offers managerial and developers' action towards responsible machine learning for ethical artificial intelligence. The actions consist of privacy by design, development of explainable AI, identification and removal of inherent biases, and most importantly, using AI as a moral enabler. Application of these action would not only help towards ethical AI; it would also help in supporting moral development of human-AI hybrid.
URI: https://www.igi-global.com/chapter/responsible-machine-learning-for-ethical-artificial-intelligence-in-business-and-industry/285003
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3942
Appears in Collections:Department of Management

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