Explaining AI

November 29, 2021 / Melody Smith / Comments Off on Explaining AI

It is 2021 and we are still explaining the differences between artificial intelligence (AI), machine learning, deep learning and other emerging technologies. Datamation brought this topic to us in their article, “Artificial Intelligence vs. Machine Learning 2021.”

AI is the present, and the future. It is already part of our everyday lives. You may not realize it because various terms are used interchangeably. AI, machine learning and deep learning are the most common. The easiest way to think of their relationship is to visualize them as concentric circles with AI — first to the party and the largest, then machine learning that came later, and finally deep learning, which is driving today’s AI explosion — fitting inside both. Deep learning has enabled many practical applications of machine learning and by extension the overall field of AI. 

Unfortunately, most organizations have little knowledge on how AI systems make the decisions they do and how they are being applied. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.

Melody K. Smith

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Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.