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  • last updated : 31 August, 2022

Explainable AI

Category: Blog
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Explainable Artificial Intelligence is key for any successful implementation at scale. 

Here are some of the aspects of Explainable AI : 

Explanation
Systems provide the evidence or reason(s) for all outputs.

Meaningful
Systems provide explanations that are understandable to individual users.

Explanation Accuracy
The explanation correctly reflects the system’s process for generating the output.

Knowledge Limits
The system only operates under conditions for which it was designed or when the system reaches sufficient confidence in its output.

IP analysis has always been considered as a great use case for AI systems because of the multiple factors such as rich large text data and several interconnects.

However, for large scale adoption in Industry the following are needed:

  • Transparency 
  • Explainability 
  • Lack of Bias 
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