{"id":6367,"date":"2020-10-21T17:51:58","date_gmt":"2020-10-21T17:51:58","guid":{"rendered":"https:\/\/www.rbc.com\/en\/thought-leadership\/ai-is-inherently-human-as-such-inclusivity-matters\/"},"modified":"2020-10-21T17:51:58","modified_gmt":"2020-10-21T17:51:58","slug":"ai-is-inherently-human-as-such-inclusivity-matters","status":"publish","type":"rbc_tl","link":"https:\/\/www.rbc.com\/en\/thought-leadership\/disruptors\/ai-is-inherently-human-as-such-inclusivity-matters\/","title":{"rendered":"AI Is Inherently Human. As Such, Inclusivity Matters"},"content":{"rendered":"

Artificial intelligence is truly all around us. And we’ve become so accustomed to using it, that we barely even notice it anymore. It’s there when we ask our smart speakers a question, it’s how we get recommendations on the next song to play, it helps filter spam from our inboxes. But as AI plays a larger role in how we live and work, so do its inherent biases.<\/p>\n

A recent survey by Borealis AI<\/a>, RBC’s AI research institute, found that 88% of companies believe bias exists in their organization. Yet almost half (44%) don’t understand the ethical challenges that bias presents in AI. <\/p>\n

A surge in data use and biometrics during the COVID-19 pandemic has only heightened the need to examine these questions. <\/p>\n

\u201cAI amplifies the power imbalance in the people and organizations that are producing data on the population versus the population’s ability to understand that they’re being watched and surveilled,” said Ruha Benjamin, a sociologist and associate professor of African American studies at Princeton University, who was a guest on a recent Disruptors podcast about the ethics of AI.<\/p>\n

So what do we need to think about, as we grow more dependent on artificial intelligence?<\/p>\n

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