{"id":55419,"date":"2021-07-28T00:00:00","date_gmt":"2021-07-28T00:00:00","guid":{"rendered":"http:\/\/35.208.6.27\/xlscout_new\/explainable-ai\/"},"modified":"2024-10-16T09:57:17","modified_gmt":"2024-10-16T09:57:17","slug":"explainable-ai","status":"publish","type":"post","link":"https:\/\/xlscout.ai\/nl\/explainable-ai\/","title":{"rendered":"What is Explainable AI?"},"content":{"rendered":"

Explainable Artificial Intelligence<\/a>\/ Explainable AI is key for any successful implementation at scale.\u00a0<\/span><\/p>\n

Here are some of the aspects:\u00a0<\/span><\/p>\n

Explanation of Explainable AI<\/strong><\/h2>\n

Systems provide the evidence or reason(s) for all outputs.
\n<\/b><\/p>\n

Meaningful<\/strong><\/h2>\n

Systems provide explanations that are understandable to individual users.
\n<\/b><\/p>\n

Explanation Accuracy<\/strong><\/h2>\n

The explanation correctly reflects the system\u2019s process for generating the output.
\n<\/b><\/p>\n

Knowledge Limits<\/strong><\/b><\/h2>\n

The system only operates under the conditions for which it was designed or when it reaches sufficient confidence in its output.<\/p>\n

IP analysis has always been considered a great use case for AI systems because of the multiple factors involved, such as rich, large text data and several interconnections.<\/p>\n

However, for large scale adoption in Industry the following are needed:<\/span><\/p>\n