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Silicon Valley, The Root Of Tech’s Diversity Problem: AI And Its Inadvertent Bias (Part 5)

Artificial Intelligence, or AI, is advancing rapidly with scientists finding new ways to incorporate it into our daily lives.

AI was defined by Andreas Kaplan and Michael Haenlein as, “a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation,” in their study, Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. 

The origins of AI can be traced back to a Dartmouth workshop, but many of the advancements of the technology has been overseen in Silicon Valley. As great as the advancement of this new form of automation is, there is on problem: because Silicon Valley itself lacks diversity, how can we expect the intuitive tool to be created without its own biases?

With some calling bais AI’s achilles heel, others are questioning if it’s even possible to create an unbiased version of this technology, no matter the circumstances.

Still others are working together, fighting to eliminate the biases that are starting to emerge in electronics interwoven with AI.

It’s hard to imagine a world without technology, and it’s pointless to imagine one where we stop inventing, exploring and advancing. On the other hand, we shouldn’t keep creating things that only benefit a subset class of people, or is at least bias towards them.