Responsible Machine Learning for Ethical Artificial Intelligence in Business and Industry

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Author(s): Deepak Saxena (Birla Institute of Technology and Science, Pilani, India), Markus Lamest (Trinity College Dublin, Ireland)and Veena Bansal (Indian Institute of Technology, Kanpur, India)
Copyright: 2021
Pages: 15
Source title: Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
Source Author(s)/Editor(s): Valentina Chkoniya (University of Aveiro, Portugal)
DOI: 10.4018/978-1-7998-6985-6.ch030

Keywords: Artificial Intelligence / Data Management / Information Science Reference / Knowledge Management and Library Science

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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.

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Responsible Machine Learning for Ethical Artificial Intelligence in Business and Industry

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