From 600+ conversations with the world’s leading thinkers.
I remain a technical optimist… the problem is not artificial intelligence, it's natural stupidity.
The 'Doomers' often anthropomorphize computers by attributing human characteristics to them. While this is an understandable tendency, it's essential to recognize that humans have evolved their competitive nature and occasional violent impulses from survival in a world marked by resource scarcity and competition.
AI has been an area of technology for many decades, but the advances of the past five-years show us why this is one of the major technology events of the last several centuries. We haven't really had a technology like AI in the history of technological development – the closest analogy would be the movable type printing press, which came to the fore at the beginning of the enlightenment, some five hundred years ago.
I think intelligence is best understood as an entity that has the ability to improve a metric through repeated exposure over time. By that definition, machine learning algorithms are learning systems — they get better with more data and more exposures. A dog is a learning system. A cat is a learning system — you teach it a trick, reward it a few times, and it just does it from there on. And humans, of course, are the ultimate example of a learning system.
In the past, the human brain could synthesize information and anticipate the future. But now, in an era where computational intelligence dominates innovation, no human can accurately forecast what lies ahead. For the first time as a species, we're truly in the dark about what's around the corner.
We haven't really had a technology like AI in the history of technological development – the closest analogy would be the movable type printing press, which came to the fore at the beginning of the enlightenment, some five hundred years ago.
Arguably, though, it could be more comparable to the rise of Homo sapiens itself, or even to the origin of life on Earth.
The ultimate goal is to be in a state of flow with machines. Think about people working with horses, or herding cattle with a dog, they are examples of interactions with other intelligent creatures in a way which is fluid and allows us to achieve something we couldn't do ourselves.
After each strike the drone would be updated with information about the actual destruction caused. If it did more damage than expected, then it could use this information to restrict its choice of weapon in future engagements.
Change proceeds at the speed of trust. Building this trust, particularly in the context of AI and synthetic biology, starts with open information exchange, discussion, and dialogue. It's about creating a shared understanding of our capabilities, responsible deployment of technology, and acknowledging the associated risks.
It's the ultimate invention—the last one we'll ever need to make—because once we have AI that is generally intelligent and then superintelligent, it will do the inventing far better than we can. In that sense, it's a handing over of the baton.
AI has been an area of technology for many decades, but the advances of the past five-years show us why this is one of the major technology events of the last several centuries.