IDG Contributor Network: Recognizing and solving for AI bias

Today, artificial intelligence (AI) is helping us uncover new insight from data and enhance human decision-making. For instance, we use facial recognition to sign into our cell phones, and voice comprehension and intent analytics to get assistance. E-commerce retailers work with AI to predict and recommend new products to consumers. Banks use conversational AI to reduce fraud and better manage client experiences.

Most of the AI that is in use today is narrow AI. General AI, which is more akin to human intelligence and can span a very broad range of decisions, emotions, and judgement, will not be here anytime soon. Narrow AI, which is here today, is actually very good at specific tasks, but “narrowness,” by definition, can introduce some limitations, making it prone to bias.   

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