Responsible Machine Learning for Ethical Artificial Intelligence in Business and Industry

dc.contributor.authorSaxena, Deepak
dc.date.accessioned2021-12-28T14:56:16Z
dc.date.available2021-12-28T14:56:16Z
dc.date.issued2021
dc.description.abstractArtificial 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.identifier.urihttps://www.igi-global.com/chapter/responsible-machine-learning-for-ethical-artificial-intelligence-in-business-and-industry/285003
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3942
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.subjectManagementen_US
dc.subjectDeep learningen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectMachine Learningen_US
dc.titleResponsible Machine Learning for Ethical Artificial Intelligence in Business and Industryen_US
dc.typeBook chapteren_US

Files

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: