Artificial intelligence (AI) could be the machinery form of a human mind. AI technology enables a machine to think and act like a human. Most people and organizations have little knowledge on how AI systems make decisions. BBN Times brought this interesting information to us in their article, “Why Humans Cannot Fully Understand Artificial Intelligence?“
AI systems can produce results or make decisions not immediately obvious or intuitive to humans, and people are sometimes caught off guard by the solutions.
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 its potential biases. Explainability becomes vital when the results can have an impact on data security or safety.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
