Abstract
Artificial Intelligence (AI) provides the mechanisms to enable machines to learn. AI systems which use machine learning, can detect patterns in enormous volumes of data and model complex, interdependent systems to generate outcomes that improve the efficiency of decision making. AI in particular machine learning has been positioned as an important element in contributing to as well as providing decisions in a multitude of industries. The use of machine learning in delivering decisions is based on the data that is used to train the machine learning algorithms. It is imperative that when machine learning applications are being considered that the data being used to train the machine learning algorithms are without bias, and the data is ethically used. This chapter focuses on the ethical use of data in developing machine learning algorithms. Specifically, this chapter will include the examination of AI bias and ethical use of AI, data ethics principles, selecting ethical data for AI applications, AI and data governance, and putting ethical AI applications into practice.
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