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As the use of Artificial Intelligence (AI) and Machine Learning (ML) expands to various industries, it is important to ensure trust in AI systems to mitigate malfunction and bias. Responsible AI practices should include five pillars of ethical AI comprising fairness, transparency, accountability, privacy, and robustness. These principles can be used by companies developing or implementing AI systems as a guide in the development and use of AI to promote ethical practices. Business leaders need to ensure that their AI systems are functioning reliably and accurately and that they can trust the data being used.