Artificial Intelligence (AI) is the machinery form of a human. AI technology enables a machine to think and act like a human. Most people and organizations have little knowledge on how AI systems make the decisions they do, and as a result, how the results are being applied in the various fields that AI and machine learning are being applied. BBN Times brought this interesting information to us in their article, “Why Humans Cannot Fully Understand Artificial Intelligence?“
AI systems may sometimes produce results or make decisions that are not immediately obvious or intuitive to humans, which can make it challenging to understand their logic or reasoning.
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. Why is this important? Because explainability becomes critical 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.
