Courtesy of Amy Webb
- Amy Webb is a professor of strategic foresight at NYU's Stern School of Business.
- In this excerpt from her new book "The Big Nine: How The Tech Titans and Their Thinking Machines Could Warp Humanity," Webb explains why it's so important that artificial intelligence is built to keep human values.
- Without more transparency about how AI "thinks," she argues, we run the risk that algorithms will start making decisions that don't necessarily have humanity's interests at heart.
In the absence of codified humanistic values within the big tech giants, personal experiences and ideals are driving decision-making. This is particularly dangerous when it comes to AI, because students, professors, researchers, employees, and managers are making millions of decisions every day, from seemingly insignificant (what database to use) to profound (who gets killed if an autonomous vehicle needs to crash).
Artificial intelligence might be inspired by our human brains, but humans and AI make decisions and choices differently. Princeton professor Daniel Kahneman and Hebrew University of Jerusalem professor Amos Tversky spent years studying the human mind and how we make decisions, ultimately discovering that we have two systems of thinking: one that uses logic to analyze problems, and one that is automatic, fast, and nearly imperceptible to us. Kahneman describes this dual system in his award-winning book Thinking, Fast and Slow. Difficult problems require your attention and, as a result, a lot of mental energy. That’s why most people can’t solve long arithmetic problems while walking, because even the act of walking requires that energy-hungry part of the brain. It’s the other system that’s in control most of the time. Our fast, intuitive mind makes thousands of decisions autonomously all day long, and while it’s more energy efficient, it’s riddled with cognitive biases that affect our emotions, beliefs, and opinions.
See the rest of the story at Business Insider
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