At Kyndi™, we believe that explainability is a fundamental requirement for artificial intelligence (AI) technologies. The ability for a system to explain the reasoning behind its decision making is critical, especially in regulated industries such as government and financial services. Recently, Kyndi™ CEO Ryan Welsh had the opportunity to sit down with John Furrier, co-host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio. During the interview, the two touched on explainability and several other AI topics, including:
The difference between Explainable AI™ and algorithmic transparency:
Strengths and weaknesses of different AI approaches:
The benefits of fusing machine learning and knowledge-based approaches:
We invite you to watch the full interview, in which Ryan and John go on to discuss amplifying human productivity with AI, combining AI with robotic process automation, and much more.
Kyndi is building the first Explainable AI™ platform for government, financial services, and life sciences. We believe that to realize the full potential of artificial intelligence you must be able to understand the reasoning behind a system’s conclusions and results. We invite you to contact us to learn more about Explainable AI™, and subscribe to our blog below. You can also connect with us on Twitter and LinkedIn.