Artificial intelligence (AI) is not new in science or name. In the earliest days of what we now call AI, there was a debate over what to name the field. It was originally suggested to name it complex information processing. Doesn’t quite capture the same tone, right? This interesting information came to us from Ars Technica in their article, “How to get started with machine learning and AI.”
It may not sound as good in the movies, but complex information processing is a much better description of what AI actually is and does. The beginnings of modern AI can be traced to classical philosophers’ attempts to describe human thinking as a symbolic system. But the field of AI wasn’t formally founded until 1956, at a conference at Dartmouth College, in Hanover, New Hampshire, where the term was coined.
Still, over 65 years later, most organizations have little knowledge on how AI systems make the decisions they do. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases. We are the intelligence and the technology behind world-class explainable AI solutions.
Melody K. Smith
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