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Responsible Machine Learning for Ethical Artificial Intelligence in Business and Industry

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dc.contributor.author Saxena, Deepak
dc.date.accessioned 2021-12-28T14:56:16Z
dc.date.available 2021-12-28T14:56:16Z
dc.date.issued 2021
dc.identifier.uri https://www.igi-global.com/chapter/responsible-machine-learning-for-ethical-artificial-intelligence-in-business-and-industry/285003
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3942
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher IGI Global en_US
dc.subject Management en_US
dc.subject Deep learning en_US
dc.subject Artificial Intelligence en_US
dc.subject Machine Learning en_US
dc.title Responsible Machine Learning for Ethical Artificial Intelligence in Business and Industry en_US
dc.type Book chapter en_US


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