Artificial Intelligence Needs Data Diversity

Artificial intelligence (AI) algorithms are generally hungry for data, a trend which is accelerating. A new breed of AI approaches, called lifelong learning machines, are being designed to pull data continually and indefinitely. But this is already happening with other AI approaches, albeit with human intervention. A steady stream of data is the fuel for coveted results.

But, with the ever-increasing importance of data, the stakes of data bias are growing ever higher. AI companies have a moral obligation to their customers, and to themselves, to actively address data bias. READ MORE ON: FORBES

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DataYusra Hamid