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Finding the Human Element in AI

Companies need to understand that AI isn’t an end, but a beginning. And AI is there to help human employees and human customers.

Radhu Basu

Founder and CEO, iMerit

Founder and CEO, iMerit

Why is it so important to add the human element into all artificial intelligence (AI)?

The human world is complex and nuanced, and AI is still extremely reliant on the human element. Problem definition, data annotation and output validation all incorporate human skill and subtlety. Humans also need to be involved with the ethics of AI, and that means a diverse set of people involved.

What should businesses do before implementing AI? 

Evaluate where you have access to plentiful, diverse and relevant data. The better and more plentiful the data, the more likely you are to succeed at the problem you select.

Why should humans be in the loop?

Human truth is used to train AI. Multiple diverse human viewpoints can create an information-rich environment for AI. Humans can also look at edge cases where the AI is not very sure of its output. 
Dispel a common myth about AI in customer experience and business. 

People believe that AI will eliminate the need for people, but AI and skilled people will need to work together. Tech-enabled services and human expertise will both be needed.  

How can AI be used for good?

It’s a tool for societal implications and can be applied to societal challenges. It can provide health diagnostic capabilities in remote villages. A drone image can detect crop disease. 

AI can also vastly reduce the cost of personalizing a solution. A student can have her essay evaluated by an intelligent system. Social organizations are often data-rich, with decades of field data; AI can consume this data and build insights from that data. 

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