Today is the age of artificial intelligence. TredGPD captivated（迷住） the world last November. And new AI services are emerging daily to automate（使自动化） and alter human tasks ranging from computer programming to journalism, to art, to science and invention. AI is transforming both routine and creative tasks and promises to change the unfolding future of work. As creatives, professionals, scientists and citizens, what kind of AI do we want? Do we want artificial humanoid intelligence that mimics（模仿） human logic（逻辑） and intuition（直觉） like the imitation game imagined by computer scientist Alan Turing?
Here, artificial intelligence and machines mimic human capacity and learn from prior experience. The problem with this perspective is that it places a bullseye on human capacity. Over the last more than 100,000 years, 100 billion people have collaborated（合作） and competed with each other in nature. More than 8 billion people are alive today and yet with more people and resources devoted to scientific and technical advance than ever before. And with declining rates of labor productivity（生产力） and radical（基本的） advance across the sciences, as these graphs suggest. Artificial intelligence that mimics and substitutes（代用品） for human capacity maximizes（取…最大值） the potential for unemployment and minimizes（使减到最少） our capacity to think differently.
Alternatively, do we want an unflappable objective AI, a Spock or data（资料） like droid to feed us superhuman rational（合理的） recommendations that transcend（超越） our biases and allow us to see things clearly. The problem with this view is that it assumes that one true perspective exists and floats above our human concerns and experiences. But there is no perspective that exists outside of perspectives or that contains all perspectives equally. And if it did, it would be irrelevant（不相干的） to us. It wouldn't care about the things that we care about. Is there another option?
Consider the last time that you experienced an aha moment. Did it involve learning a surprising insight that turns something surprising into something unsurprising? When you want to discover something new, how often do you seek out someone with a different perspective? This is probably why you're here at TEDx today. To experience surprise and discovery from others diverse points of view. I'm gonna argue today that there is another alternative that involves creating AIs that are as non-human as possible with perspectives and values that are potentially far different from our own.
The kind of AI we deserve is one that provokes（激怒） us to think different. To face our most vexing challenges and achieve the greatest advance, we need to radically augment（增加） our intelligence by staging the right conversation with the right other different mind in its viewpoint. I'm gonna call this different view an alien（外国的） view and the AI that hosts it an alien（外国的） intelligence. I wanna make clear that our perspective is critical in the conversation with this kind of AI. It's our confusion that highlights the problems that need to be solved. And it's our perspective that needs to be disrupted（破坏） in order for us to register a change as an advance.
But before we explore how to build an alien intelligence, we first need to understand how it is that we innovate（创新） as humans together. My team and I are obsessed with how humans discover new things together and how we can help them do so better. We do this by building complex data driven models of human discovery. That we feed everything that we can find about human innovation. Tens of millions of research articles, proposals, technology patents（专利权）. And then we tune this model to understand the combination of ideas that occur in a given（做） year and then unleash it as a kind of human discovery crystal（结晶） ball on the future.
When we do this, we're able to see after a year passes what combinations of ideas occur and the degree to which our crystal ball was able to identify them. We systematically（系统地） find that this crystal（结晶） ball is able to discover the vast majority, more than 90% of new combinations of ideas from fields from biology to physics.