Author: Ray Eitel-Porter; Publisher: Accenture; Publication Year: 2021. The following article is written by Ray Eitel-Porter, Global Lead for Responsible AI at Accenture. In this article, he talks about how in order to create trust in artificial intelligence (AI), organizations must move beyond defining responsible AI principles and put those principles into practice. He shares key learnings from practitioners’ pain points and how to…
Author: N/A; Publisher: Accenture; Publication Year: N/A. The following article discuss how artificial intelligence (AI) has proved to be beneficial to business time and time again but with the use of AI comes a great responsibility encompassing AI ethics, data governance, and trust and legality. As organizations begin scaling up their use of AI to make sure of insights for their business, they must be aware of…
Author: Joe McKendrick; Publisher: ZDNet; Publication Year: 2022. The following article discusses the importance of data accuracy when building non-biased artificial intelligence (AI) models. At the heart of AI models is data, and so it is imperative to use high-quality, inclusive datasets that are not biased or skewed to deliver what the author refers to as “responsible AI.” I think this article is especially relevant to us as…